RoutingSearchParameters.Builder (com.google.ortools:ortools-java 9.10.4067 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite.Builder
- - com.google.protobuf.AbstractMessage.Builder<BuilderT>
  - - com.google.protobuf.GeneratedMessage.Builder<RoutingSearchParameters.Builder>
    - - com.google.ortools.constraintsolver.RoutingSearchParameters.Builder

All Implemented Interfaces:: RoutingSearchParametersOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable

Enclosing class:: RoutingSearchParameters

public static final class RoutingSearchParameters.Builder
extends com.google.protobuf.GeneratedMessage.Builder<RoutingSearchParameters.Builder>
implements RoutingSearchParametersOrBuilder

 Parameters defining the search used to solve vehicle routing problems.

 If a parameter is unset (or, equivalently, set to its default value),
 then the routing library will pick its preferred value for that parameter
 automatically: this should be the case for most parameters.
 To see those "default" parameters, call GetDefaultRoutingSearchParameters().
 Next ID: 61

Protobuf type operations_research.RoutingSearchParameters

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`RoutingSearchParameters`	`build()`
`RoutingSearchParameters`	`buildPartial()`
`RoutingSearchParameters.Builder`	`clear()`
`RoutingSearchParameters.Builder`	`clearCheapestInsertionAddUnperformedEntries()` Whether or not to consider entries making the nodes/pairs unperformed in the GlobalCheapestInsertion heuristic.
`RoutingSearchParameters.Builder`	`clearCheapestInsertionFarthestSeedsRatio()` Ratio (between 0 and 1) of available vehicles in the model on which farthest nodes of the model are inserted as seeds in the GlobalCheapestInsertion first solution heuristic.
`RoutingSearchParameters.Builder`	`clearCheapestInsertionFirstSolutionMinNeighbors()` `int32 cheapest_insertion_first_solution_min_neighbors = 44;`
`RoutingSearchParameters.Builder`	`clearCheapestInsertionFirstSolutionNeighborsRatio()` Ratio (in ]0, 1]) of closest non start/end nodes to consider as neighbors for each node when creating new insertions in the parallel/sequential cheapest insertion heuristic.
`RoutingSearchParameters.Builder`	`clearCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization()` Whether or not to only consider closest neighbors when initializing the assignment for the first solution.
`RoutingSearchParameters.Builder`	`clearCheapestInsertionLsOperatorMinNeighbors()` `int32 cheapest_insertion_ls_operator_min_neighbors = 45;`
`RoutingSearchParameters.Builder`	`clearCheapestInsertionLsOperatorNeighborsRatio()` Neighbors ratio and minimum number of neighbors for the heuristic when used in a local search operator (see local_search_operators.use_global_cheapest_insertion_path_lns and local_search_operators.use_global_cheapest_insertion_chain_lns below).
`RoutingSearchParameters.Builder`	`clearChristofidesUseMinimumMatching()` If true use minimum matching instead of minimal matching in the Christofides algorithm.
`RoutingSearchParameters.Builder`	`clearContinuousSchedulingSolver()` `.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;`
`RoutingSearchParameters.Builder`	`clearDisableSchedulingBewareThisMayDegradePerformance()` Setting this to true completely disables the LP and MIP scheduling in the solver.
`RoutingSearchParameters.Builder`	`clearFallbackToCpSatSizeThreshold()` If model.Size() is less than the threshold and that no solution has been found, attempt a pass with CP-SAT.
`RoutingSearchParameters.Builder`	`clearFirstSolutionOptimizationPeriod()` If non zero, a period p indicates that every p node insertions or additions to a path, an optimization of the current partial solution will be performed.
`RoutingSearchParameters.Builder`	`clearFirstSolutionStrategy()` First solution strategies, used as starting point of local search.
`RoutingSearchParameters.Builder`	`clearGuidedLocalSearchLambdaCoefficient()` These are advanced settings which should not be modified unless you know what you are doing.
`RoutingSearchParameters.Builder`	`clearGuidedLocalSearchResetPenaltiesOnNewBestSolution()` Whether to reset penalties when a new best solution is found.
`RoutingSearchParameters.Builder`	`clearHeuristicCloseNodesLnsNumNodes()` Number of closest nodes to consider for each node during the destruction phase of the FilteredHeuristicCloseNodesLNSOperator.
`RoutingSearchParameters.Builder`	`clearHeuristicExpensiveChainLnsNumArcsToConsider()` Number of expensive arcs to consider cutting in the FilteredHeuristicExpensiveChainLNSOperator operator.
`RoutingSearchParameters.Builder`	`clearImprovementLimitParameters()` The improvement search limit is added to the solver if the following parameters are set.
`RoutingSearchParameters.Builder`	`clearIteratedLocalSearchParameters()` Iterated Local Search parameters.
`RoutingSearchParameters.Builder`	`clearLnsTimeLimit()` Limit to the time spent in the completion search for each local search neighbor.
`RoutingSearchParameters.Builder`	`clearLocalCheapestCostInsertionPickupDeliveryStrategy()` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest cost insertion, both first solution heuristic and LNS.
`RoutingSearchParameters.Builder`	`clearLocalCheapestInsertionPickupDeliveryStrategy()` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest insertion, both first solution heuristic and LNS.
`RoutingSearchParameters.Builder`	`clearLocalSearchMetaheuristic()` Local search metaheuristics used to guide the search.
`RoutingSearchParameters.Builder`	`clearLocalSearchOperators()` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`RoutingSearchParameters.Builder`	`clearLogCostOffset()` `double log_cost_offset = 29;`
`RoutingSearchParameters.Builder`	`clearLogCostScalingFactor()` In logs, cost values will be scaled and offset by the given values in the following way: log_cost_scaling_factor * (cost + log_cost_offset)
`RoutingSearchParameters.Builder`	`clearLogSearch()` --- Miscellaneous --- Some of these are advanced settings which should not be modified unless you know what you are doing.
`RoutingSearchParameters.Builder`	`clearLogTag()` In logs, this tag will be appended to each line corresponding to a new solution.
`RoutingSearchParameters.Builder`	`clearLsOperatorMinNeighbors()` `int32 ls_operator_min_neighbors = 54;`
`RoutingSearchParameters.Builder`	`clearLsOperatorNeighborsRatio()` Neighbors ratio and minimum number of neighbors considered in local search operators (see cheapest_insertion_first_solution_neighbors_ratio and cheapest_insertion_first_solution_min_neighbors for more information).
`RoutingSearchParameters.Builder`	`clearMixedIntegerSchedulingSolver()` `.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;`
`RoutingSearchParameters.Builder`	`clearMultiArmedBanditCompoundOperatorExplorationCoefficient()` Positive parameter defining the exploration coefficient of the multi-armed bandit compound operator.
`RoutingSearchParameters.Builder`	`clearMultiArmedBanditCompoundOperatorMemoryCoefficient()` Memory coefficient related to the multi-armed bandit compound operator.
`RoutingSearchParameters.Builder`	`clearNumberOfSolutionsToCollect()` Number of solutions to collect during the search.
`RoutingSearchParameters.Builder`	`clearOptimizationStep()` Minimum step by which the solution must be improved in local search.
`RoutingSearchParameters.Builder`	`clearRelocateExpensiveChainNumArcsToConsider()` Number of expensive arcs to consider cutting in the RelocateExpensiveChain neighborhood operator (see LocalSearchNeighborhoodOperators.use_relocate_expensive_chain()).
`RoutingSearchParameters.Builder`	`clearReportIntermediateCpSatSolutions()` If use_cp_sat or use_generalized_cp_sat is true, will report intermediate solutions found by CP-SAT to solution listeners.
`RoutingSearchParameters.Builder`	`clearSatParameters()` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`RoutingSearchParameters.Builder`	`clearSavingsAddReverseArcs()` Add savings related to reverse arcs when finding the nearest neighbors of the nodes.
`RoutingSearchParameters.Builder`	`clearSavingsArcCoefficient()` Coefficient of the cost of the arc for which the saving value is being computed: Saving(a-->b) = Cost(a-->end) + Cost(start-->b) - savings_arc_coefficient * Cost(a-->b) This parameter must be greater than 0, and its default value is 1.
`RoutingSearchParameters.Builder`	`clearSavingsMaxMemoryUsageBytes()` The number of neighbors considered for each node in the Savings heuristic is chosen so that the space used to store the savings doesn't exceed savings_max_memory_usage_bytes, which must be in ]0, 1e10].
`RoutingSearchParameters.Builder`	`clearSavingsNeighborsRatio()` Parameters specific to the Savings first solution heuristic.
`RoutingSearchParameters.Builder`	`clearSavingsParallelRoutes()` When true, the routes are built in parallel, sequentially otherwise.
`RoutingSearchParameters.Builder`	`clearSecondaryLsTimeLimitRatio()` Ratio of the overall time limit spent in a secondary LS phase with only intra-route and insertion operators, meant to "cleanup" the current solution before stopping the search.
`RoutingSearchParameters.Builder`	`clearSolutionLimit()` -- Search limits -- Limit to the number of solutions generated during the search.
`RoutingSearchParameters.Builder`	`clearTimeLimit()` Limit to the time spent in the search.
`RoutingSearchParameters.Builder`	`clearUseCp()` If true, use the CP solver to find a solution.
`RoutingSearchParameters.Builder`	`clearUseCpSat()` If true, use the CP-SAT solver to find a solution.
`RoutingSearchParameters.Builder`	`clearUseDepthFirstSearch()` --- Search control --- If true, the solver should use depth-first search rather than local search to solve the problem.
`RoutingSearchParameters.Builder`	`clearUseFullPropagation()` --- Propagation control --- These are advanced settings which should not be modified unless you know what you are doing.
`RoutingSearchParameters.Builder`	`clearUseGeneralizedCpSat()` If true, use the CP-SAT solver to find a solution on generalized routing model.
`RoutingSearchParameters.Builder`	`clearUseIteratedLocalSearch()` Whether the solver should use an Iterated Local Search approach to solve the problem.
`RoutingSearchParameters.Builder`	`clearUseMultiArmedBanditConcatenateOperators()` If true, the solver will use multi-armed bandit concatenate operators.
`RoutingSearchParameters.Builder`	`clearUseUnfilteredFirstSolutionStrategy()` --- Advanced first solutions strategy settings --- Don't touch these unless you know what you are doing.
`boolean`	`getCheapestInsertionAddUnperformedEntries()` Whether or not to consider entries making the nodes/pairs unperformed in the GlobalCheapestInsertion heuristic.
`double`	`getCheapestInsertionFarthestSeedsRatio()` Ratio (between 0 and 1) of available vehicles in the model on which farthest nodes of the model are inserted as seeds in the GlobalCheapestInsertion first solution heuristic.
`int`	`getCheapestInsertionFirstSolutionMinNeighbors()` `int32 cheapest_insertion_first_solution_min_neighbors = 44;`
`double`	`getCheapestInsertionFirstSolutionNeighborsRatio()` Ratio (in ]0, 1]) of closest non start/end nodes to consider as neighbors for each node when creating new insertions in the parallel/sequential cheapest insertion heuristic.
`boolean`	`getCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization()` Whether or not to only consider closest neighbors when initializing the assignment for the first solution.
`int`	`getCheapestInsertionLsOperatorMinNeighbors()` `int32 cheapest_insertion_ls_operator_min_neighbors = 45;`
`double`	`getCheapestInsertionLsOperatorNeighborsRatio()` Neighbors ratio and minimum number of neighbors for the heuristic when used in a local search operator (see local_search_operators.use_global_cheapest_insertion_path_lns and local_search_operators.use_global_cheapest_insertion_chain_lns below).
`boolean`	`getChristofidesUseMinimumMatching()` If true use minimum matching instead of minimal matching in the Christofides algorithm.
`RoutingSearchParameters.SchedulingSolver`	`getContinuousSchedulingSolver()` `.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;`
`int`	`getContinuousSchedulingSolverValue()` `.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;`
`RoutingSearchParameters`	`getDefaultInstanceForType()`
`static com.google.protobuf.Descriptors.Descriptor`	`getDescriptor()`
`com.google.protobuf.Descriptors.Descriptor`	`getDescriptorForType()`
`boolean`	`getDisableSchedulingBewareThisMayDegradePerformance()` Setting this to true completely disables the LP and MIP scheduling in the solver.
`int`	`getFallbackToCpSatSizeThreshold()` If model.Size() is less than the threshold and that no solution has been found, attempt a pass with CP-SAT.
`int`	`getFirstSolutionOptimizationPeriod()` If non zero, a period p indicates that every p node insertions or additions to a path, an optimization of the current partial solution will be performed.
`FirstSolutionStrategy.Value`	`getFirstSolutionStrategy()` First solution strategies, used as starting point of local search.
`int`	`getFirstSolutionStrategyValue()` First solution strategies, used as starting point of local search.
`double`	`getGuidedLocalSearchLambdaCoefficient()` These are advanced settings which should not be modified unless you know what you are doing.
`boolean`	`getGuidedLocalSearchResetPenaltiesOnNewBestSolution()` Whether to reset penalties when a new best solution is found.
`int`	`getHeuristicCloseNodesLnsNumNodes()` Number of closest nodes to consider for each node during the destruction phase of the FilteredHeuristicCloseNodesLNSOperator.
`int`	`getHeuristicExpensiveChainLnsNumArcsToConsider()` Number of expensive arcs to consider cutting in the FilteredHeuristicExpensiveChainLNSOperator operator.
`RoutingSearchParameters.ImprovementSearchLimitParameters`	`getImprovementLimitParameters()` The improvement search limit is added to the solver if the following parameters are set.
`RoutingSearchParameters.ImprovementSearchLimitParameters.Builder`	`getImprovementLimitParametersBuilder()` The improvement search limit is added to the solver if the following parameters are set.
`RoutingSearchParameters.ImprovementSearchLimitParametersOrBuilder`	`getImprovementLimitParametersOrBuilder()` The improvement search limit is added to the solver if the following parameters are set.
`RoutingIls.IteratedLocalSearchParameters`	`getIteratedLocalSearchParameters()` Iterated Local Search parameters.
`RoutingIls.IteratedLocalSearchParameters.Builder`	`getIteratedLocalSearchParametersBuilder()` Iterated Local Search parameters.
`RoutingIls.IteratedLocalSearchParametersOrBuilder`	`getIteratedLocalSearchParametersOrBuilder()` Iterated Local Search parameters.
`com.google.protobuf.Duration`	`getLnsTimeLimit()` Limit to the time spent in the completion search for each local search neighbor.
`com.google.protobuf.Duration.Builder`	`getLnsTimeLimitBuilder()` Limit to the time spent in the completion search for each local search neighbor.
`com.google.protobuf.DurationOrBuilder`	`getLnsTimeLimitOrBuilder()` Limit to the time spent in the completion search for each local search neighbor.
`RoutingSearchParameters.PairInsertionStrategy`	`getLocalCheapestCostInsertionPickupDeliveryStrategy()` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest cost insertion, both first solution heuristic and LNS.
`int`	`getLocalCheapestCostInsertionPickupDeliveryStrategyValue()` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest cost insertion, both first solution heuristic and LNS.
`RoutingSearchParameters.PairInsertionStrategy`	`getLocalCheapestInsertionPickupDeliveryStrategy()` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest insertion, both first solution heuristic and LNS.
`int`	`getLocalCheapestInsertionPickupDeliveryStrategyValue()` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest insertion, both first solution heuristic and LNS.
`LocalSearchMetaheuristic.Value`	`getLocalSearchMetaheuristic()` Local search metaheuristics used to guide the search.
`int`	`getLocalSearchMetaheuristicValue()` Local search metaheuristics used to guide the search.
`RoutingSearchParameters.LocalSearchNeighborhoodOperators`	`getLocalSearchOperators()` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`RoutingSearchParameters.LocalSearchNeighborhoodOperators.Builder`	`getLocalSearchOperatorsBuilder()` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`RoutingSearchParameters.LocalSearchNeighborhoodOperatorsOrBuilder`	`getLocalSearchOperatorsOrBuilder()` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`double`	`getLogCostOffset()` `double log_cost_offset = 29;`
`double`	`getLogCostScalingFactor()` In logs, cost values will be scaled and offset by the given values in the following way: log_cost_scaling_factor * (cost + log_cost_offset)
`boolean`	`getLogSearch()` --- Miscellaneous --- Some of these are advanced settings which should not be modified unless you know what you are doing.
`java.lang.String`	`getLogTag()` In logs, this tag will be appended to each line corresponding to a new solution.
`com.google.protobuf.ByteString`	`getLogTagBytes()` In logs, this tag will be appended to each line corresponding to a new solution.
`int`	`getLsOperatorMinNeighbors()` `int32 ls_operator_min_neighbors = 54;`
`double`	`getLsOperatorNeighborsRatio()` Neighbors ratio and minimum number of neighbors considered in local search operators (see cheapest_insertion_first_solution_neighbors_ratio and cheapest_insertion_first_solution_min_neighbors for more information).
`RoutingSearchParameters.SchedulingSolver`	`getMixedIntegerSchedulingSolver()` `.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;`
`int`	`getMixedIntegerSchedulingSolverValue()` `.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;`
`double`	`getMultiArmedBanditCompoundOperatorExplorationCoefficient()` Positive parameter defining the exploration coefficient of the multi-armed bandit compound operator.
`double`	`getMultiArmedBanditCompoundOperatorMemoryCoefficient()` Memory coefficient related to the multi-armed bandit compound operator.
`int`	`getNumberOfSolutionsToCollect()` Number of solutions to collect during the search.
`double`	`getOptimizationStep()` Minimum step by which the solution must be improved in local search.
`int`	`getRelocateExpensiveChainNumArcsToConsider()` Number of expensive arcs to consider cutting in the RelocateExpensiveChain neighborhood operator (see LocalSearchNeighborhoodOperators.use_relocate_expensive_chain()).
`boolean`	`getReportIntermediateCpSatSolutions()` If use_cp_sat or use_generalized_cp_sat is true, will report intermediate solutions found by CP-SAT to solution listeners.
`SatParameters`	`getSatParameters()` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`SatParameters.Builder`	`getSatParametersBuilder()` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`SatParametersOrBuilder`	`getSatParametersOrBuilder()` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`boolean`	`getSavingsAddReverseArcs()` Add savings related to reverse arcs when finding the nearest neighbors of the nodes.
`double`	`getSavingsArcCoefficient()` Coefficient of the cost of the arc for which the saving value is being computed: Saving(a-->b) = Cost(a-->end) + Cost(start-->b) - savings_arc_coefficient * Cost(a-->b) This parameter must be greater than 0, and its default value is 1.
`double`	`getSavingsMaxMemoryUsageBytes()` The number of neighbors considered for each node in the Savings heuristic is chosen so that the space used to store the savings doesn't exceed savings_max_memory_usage_bytes, which must be in ]0, 1e10].
`double`	`getSavingsNeighborsRatio()` Parameters specific to the Savings first solution heuristic.
`boolean`	`getSavingsParallelRoutes()` When true, the routes are built in parallel, sequentially otherwise.
`double`	`getSecondaryLsTimeLimitRatio()` Ratio of the overall time limit spent in a secondary LS phase with only intra-route and insertion operators, meant to "cleanup" the current solution before stopping the search.
`long`	`getSolutionLimit()` -- Search limits -- Limit to the number of solutions generated during the search.
`com.google.protobuf.Duration`	`getTimeLimit()` Limit to the time spent in the search.
`com.google.protobuf.Duration.Builder`	`getTimeLimitBuilder()` Limit to the time spent in the search.
`com.google.protobuf.DurationOrBuilder`	`getTimeLimitOrBuilder()` Limit to the time spent in the search.
`OptionalBoolean`	`getUseCp()` If true, use the CP solver to find a solution.
`OptionalBoolean`	`getUseCpSat()` If true, use the CP-SAT solver to find a solution.
`int`	`getUseCpSatValue()` If true, use the CP-SAT solver to find a solution.
`int`	`getUseCpValue()` If true, use the CP solver to find a solution.
`boolean`	`getUseDepthFirstSearch()` --- Search control --- If true, the solver should use depth-first search rather than local search to solve the problem.
`boolean`	`getUseFullPropagation()` --- Propagation control --- These are advanced settings which should not be modified unless you know what you are doing.
`OptionalBoolean`	`getUseGeneralizedCpSat()` If true, use the CP-SAT solver to find a solution on generalized routing model.
`int`	`getUseGeneralizedCpSatValue()` If true, use the CP-SAT solver to find a solution on generalized routing model.
`boolean`	`getUseIteratedLocalSearch()` Whether the solver should use an Iterated Local Search approach to solve the problem.
`boolean`	`getUseMultiArmedBanditConcatenateOperators()` If true, the solver will use multi-armed bandit concatenate operators.
`boolean`	`getUseUnfilteredFirstSolutionStrategy()` --- Advanced first solutions strategy settings --- Don't touch these unless you know what you are doing.
`boolean`	`hasDisableSchedulingBewareThisMayDegradePerformance()` Setting this to true completely disables the LP and MIP scheduling in the solver.
`boolean`	`hasImprovementLimitParameters()` The improvement search limit is added to the solver if the following parameters are set.
`boolean`	`hasIteratedLocalSearchParameters()` Iterated Local Search parameters.
`boolean`	`hasLnsTimeLimit()` Limit to the time spent in the completion search for each local search neighbor.
`boolean`	`hasLocalSearchOperators()` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`boolean`	`hasSatParameters()` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`boolean`	`hasTimeLimit()` Limit to the time spent in the search.
`protected com.google.protobuf.GeneratedMessage.FieldAccessorTable`	`internalGetFieldAccessorTable()`
`boolean`	`isInitialized()`
`RoutingSearchParameters.Builder`	`mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`RoutingSearchParameters.Builder`	`mergeFrom(com.google.protobuf.Message other)`
`RoutingSearchParameters.Builder`	`mergeFrom(RoutingSearchParameters other)`
`RoutingSearchParameters.Builder`	`mergeImprovementLimitParameters(RoutingSearchParameters.ImprovementSearchLimitParameters value)` The improvement search limit is added to the solver if the following parameters are set.
`RoutingSearchParameters.Builder`	`mergeIteratedLocalSearchParameters(RoutingIls.IteratedLocalSearchParameters value)` Iterated Local Search parameters.
`RoutingSearchParameters.Builder`	`mergeLnsTimeLimit(com.google.protobuf.Duration value)` Limit to the time spent in the completion search for each local search neighbor.
`RoutingSearchParameters.Builder`	`mergeLocalSearchOperators(RoutingSearchParameters.LocalSearchNeighborhoodOperators value)` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`RoutingSearchParameters.Builder`	`mergeSatParameters(SatParameters value)` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`RoutingSearchParameters.Builder`	`mergeTimeLimit(com.google.protobuf.Duration value)` Limit to the time spent in the search.
`RoutingSearchParameters.Builder`	`setCheapestInsertionAddUnperformedEntries(boolean value)` Whether or not to consider entries making the nodes/pairs unperformed in the GlobalCheapestInsertion heuristic.
`RoutingSearchParameters.Builder`	`setCheapestInsertionFarthestSeedsRatio(double value)` Ratio (between 0 and 1) of available vehicles in the model on which farthest nodes of the model are inserted as seeds in the GlobalCheapestInsertion first solution heuristic.
`RoutingSearchParameters.Builder`	`setCheapestInsertionFirstSolutionMinNeighbors(int value)` `int32 cheapest_insertion_first_solution_min_neighbors = 44;`
`RoutingSearchParameters.Builder`	`setCheapestInsertionFirstSolutionNeighborsRatio(double value)` Ratio (in ]0, 1]) of closest non start/end nodes to consider as neighbors for each node when creating new insertions in the parallel/sequential cheapest insertion heuristic.
`RoutingSearchParameters.Builder`	`setCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization(boolean value)` Whether or not to only consider closest neighbors when initializing the assignment for the first solution.
`RoutingSearchParameters.Builder`	`setCheapestInsertionLsOperatorMinNeighbors(int value)` `int32 cheapest_insertion_ls_operator_min_neighbors = 45;`
`RoutingSearchParameters.Builder`	`setCheapestInsertionLsOperatorNeighborsRatio(double value)` Neighbors ratio and minimum number of neighbors for the heuristic when used in a local search operator (see local_search_operators.use_global_cheapest_insertion_path_lns and local_search_operators.use_global_cheapest_insertion_chain_lns below).
`RoutingSearchParameters.Builder`	`setChristofidesUseMinimumMatching(boolean value)` If true use minimum matching instead of minimal matching in the Christofides algorithm.
`RoutingSearchParameters.Builder`	`setContinuousSchedulingSolver(RoutingSearchParameters.SchedulingSolver value)` `.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;`
`RoutingSearchParameters.Builder`	`setContinuousSchedulingSolverValue(int value)` `.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;`
`RoutingSearchParameters.Builder`	`setDisableSchedulingBewareThisMayDegradePerformance(boolean value)` Setting this to true completely disables the LP and MIP scheduling in the solver.
`RoutingSearchParameters.Builder`	`setFallbackToCpSatSizeThreshold(int value)` If model.Size() is less than the threshold and that no solution has been found, attempt a pass with CP-SAT.
`RoutingSearchParameters.Builder`	`setFirstSolutionOptimizationPeriod(int value)` If non zero, a period p indicates that every p node insertions or additions to a path, an optimization of the current partial solution will be performed.
`RoutingSearchParameters.Builder`	`setFirstSolutionStrategy(FirstSolutionStrategy.Value value)` First solution strategies, used as starting point of local search.
`RoutingSearchParameters.Builder`	`setFirstSolutionStrategyValue(int value)` First solution strategies, used as starting point of local search.
`RoutingSearchParameters.Builder`	`setGuidedLocalSearchLambdaCoefficient(double value)` These are advanced settings which should not be modified unless you know what you are doing.
`RoutingSearchParameters.Builder`	`setGuidedLocalSearchResetPenaltiesOnNewBestSolution(boolean value)` Whether to reset penalties when a new best solution is found.
`RoutingSearchParameters.Builder`	`setHeuristicCloseNodesLnsNumNodes(int value)` Number of closest nodes to consider for each node during the destruction phase of the FilteredHeuristicCloseNodesLNSOperator.
`RoutingSearchParameters.Builder`	`setHeuristicExpensiveChainLnsNumArcsToConsider(int value)` Number of expensive arcs to consider cutting in the FilteredHeuristicExpensiveChainLNSOperator operator.
`RoutingSearchParameters.Builder`	`setImprovementLimitParameters(RoutingSearchParameters.ImprovementSearchLimitParameters.Builder builderForValue)` The improvement search limit is added to the solver if the following parameters are set.
`RoutingSearchParameters.Builder`	`setImprovementLimitParameters(RoutingSearchParameters.ImprovementSearchLimitParameters value)` The improvement search limit is added to the solver if the following parameters are set.
`RoutingSearchParameters.Builder`	`setIteratedLocalSearchParameters(RoutingIls.IteratedLocalSearchParameters.Builder builderForValue)` Iterated Local Search parameters.
`RoutingSearchParameters.Builder`	`setIteratedLocalSearchParameters(RoutingIls.IteratedLocalSearchParameters value)` Iterated Local Search parameters.
`RoutingSearchParameters.Builder`	`setLnsTimeLimit(com.google.protobuf.Duration.Builder builderForValue)` Limit to the time spent in the completion search for each local search neighbor.
`RoutingSearchParameters.Builder`	`setLnsTimeLimit(com.google.protobuf.Duration value)` Limit to the time spent in the completion search for each local search neighbor.
`RoutingSearchParameters.Builder`	`setLocalCheapestCostInsertionPickupDeliveryStrategy(RoutingSearchParameters.PairInsertionStrategy value)` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest cost insertion, both first solution heuristic and LNS.
`RoutingSearchParameters.Builder`	`setLocalCheapestCostInsertionPickupDeliveryStrategyValue(int value)` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest cost insertion, both first solution heuristic and LNS.
`RoutingSearchParameters.Builder`	`setLocalCheapestInsertionPickupDeliveryStrategy(RoutingSearchParameters.PairInsertionStrategy value)` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest insertion, both first solution heuristic and LNS.
`RoutingSearchParameters.Builder`	`setLocalCheapestInsertionPickupDeliveryStrategyValue(int value)` Choice of insertion strategy for pickup/delivery pairs, used in local cheapest insertion, both first solution heuristic and LNS.
`RoutingSearchParameters.Builder`	`setLocalSearchMetaheuristic(LocalSearchMetaheuristic.Value value)` Local search metaheuristics used to guide the search.
`RoutingSearchParameters.Builder`	`setLocalSearchMetaheuristicValue(int value)` Local search metaheuristics used to guide the search.
`RoutingSearchParameters.Builder`	`setLocalSearchOperators(RoutingSearchParameters.LocalSearchNeighborhoodOperators.Builder builderForValue)` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`RoutingSearchParameters.Builder`	`setLocalSearchOperators(RoutingSearchParameters.LocalSearchNeighborhoodOperators value)` `.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;`
`RoutingSearchParameters.Builder`	`setLogCostOffset(double value)` `double log_cost_offset = 29;`
`RoutingSearchParameters.Builder`	`setLogCostScalingFactor(double value)` In logs, cost values will be scaled and offset by the given values in the following way: log_cost_scaling_factor * (cost + log_cost_offset)
`RoutingSearchParameters.Builder`	`setLogSearch(boolean value)` --- Miscellaneous --- Some of these are advanced settings which should not be modified unless you know what you are doing.
`RoutingSearchParameters.Builder`	`setLogTag(java.lang.String value)` In logs, this tag will be appended to each line corresponding to a new solution.
`RoutingSearchParameters.Builder`	`setLogTagBytes(com.google.protobuf.ByteString value)` In logs, this tag will be appended to each line corresponding to a new solution.
`RoutingSearchParameters.Builder`	`setLsOperatorMinNeighbors(int value)` `int32 ls_operator_min_neighbors = 54;`
`RoutingSearchParameters.Builder`	`setLsOperatorNeighborsRatio(double value)` Neighbors ratio and minimum number of neighbors considered in local search operators (see cheapest_insertion_first_solution_neighbors_ratio and cheapest_insertion_first_solution_min_neighbors for more information).
`RoutingSearchParameters.Builder`	`setMixedIntegerSchedulingSolver(RoutingSearchParameters.SchedulingSolver value)` `.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;`
`RoutingSearchParameters.Builder`	`setMixedIntegerSchedulingSolverValue(int value)` `.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;`
`RoutingSearchParameters.Builder`	`setMultiArmedBanditCompoundOperatorExplorationCoefficient(double value)` Positive parameter defining the exploration coefficient of the multi-armed bandit compound operator.
`RoutingSearchParameters.Builder`	`setMultiArmedBanditCompoundOperatorMemoryCoefficient(double value)` Memory coefficient related to the multi-armed bandit compound operator.
`RoutingSearchParameters.Builder`	`setNumberOfSolutionsToCollect(int value)` Number of solutions to collect during the search.
`RoutingSearchParameters.Builder`	`setOptimizationStep(double value)` Minimum step by which the solution must be improved in local search.
`RoutingSearchParameters.Builder`	`setRelocateExpensiveChainNumArcsToConsider(int value)` Number of expensive arcs to consider cutting in the RelocateExpensiveChain neighborhood operator (see LocalSearchNeighborhoodOperators.use_relocate_expensive_chain()).
`RoutingSearchParameters.Builder`	`setReportIntermediateCpSatSolutions(boolean value)` If use_cp_sat or use_generalized_cp_sat is true, will report intermediate solutions found by CP-SAT to solution listeners.
`RoutingSearchParameters.Builder`	`setSatParameters(SatParameters.Builder builderForValue)` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`RoutingSearchParameters.Builder`	`setSatParameters(SatParameters value)` If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm parameters which will be used.
`RoutingSearchParameters.Builder`	`setSavingsAddReverseArcs(boolean value)` Add savings related to reverse arcs when finding the nearest neighbors of the nodes.
`RoutingSearchParameters.Builder`	`setSavingsArcCoefficient(double value)` Coefficient of the cost of the arc for which the saving value is being computed: Saving(a-->b) = Cost(a-->end) + Cost(start-->b) - savings_arc_coefficient * Cost(a-->b) This parameter must be greater than 0, and its default value is 1.
`RoutingSearchParameters.Builder`	`setSavingsMaxMemoryUsageBytes(double value)` The number of neighbors considered for each node in the Savings heuristic is chosen so that the space used to store the savings doesn't exceed savings_max_memory_usage_bytes, which must be in ]0, 1e10].
`RoutingSearchParameters.Builder`	`setSavingsNeighborsRatio(double value)` Parameters specific to the Savings first solution heuristic.
`RoutingSearchParameters.Builder`	`setSavingsParallelRoutes(boolean value)` When true, the routes are built in parallel, sequentially otherwise.
`RoutingSearchParameters.Builder`	`setSecondaryLsTimeLimitRatio(double value)` Ratio of the overall time limit spent in a secondary LS phase with only intra-route and insertion operators, meant to "cleanup" the current solution before stopping the search.
`RoutingSearchParameters.Builder`	`setSolutionLimit(long value)` -- Search limits -- Limit to the number of solutions generated during the search.
`RoutingSearchParameters.Builder`	`setTimeLimit(com.google.protobuf.Duration.Builder builderForValue)` Limit to the time spent in the search.
`RoutingSearchParameters.Builder`	`setTimeLimit(com.google.protobuf.Duration value)` Limit to the time spent in the search.
`RoutingSearchParameters.Builder`	`setUseCp(OptionalBoolean value)` If true, use the CP solver to find a solution.
`RoutingSearchParameters.Builder`	`setUseCpSat(OptionalBoolean value)` If true, use the CP-SAT solver to find a solution.
`RoutingSearchParameters.Builder`	`setUseCpSatValue(int value)` If true, use the CP-SAT solver to find a solution.
`RoutingSearchParameters.Builder`	`setUseCpValue(int value)` If true, use the CP solver to find a solution.
`RoutingSearchParameters.Builder`	`setUseDepthFirstSearch(boolean value)` --- Search control --- If true, the solver should use depth-first search rather than local search to solve the problem.
`RoutingSearchParameters.Builder`	`setUseFullPropagation(boolean value)` --- Propagation control --- These are advanced settings which should not be modified unless you know what you are doing.
`RoutingSearchParameters.Builder`	`setUseGeneralizedCpSat(OptionalBoolean value)` If true, use the CP-SAT solver to find a solution on generalized routing model.
`RoutingSearchParameters.Builder`	`setUseGeneralizedCpSatValue(int value)` If true, use the CP-SAT solver to find a solution on generalized routing model.
`RoutingSearchParameters.Builder`	`setUseIteratedLocalSearch(boolean value)` Whether the solver should use an Iterated Local Search approach to solve the problem.
`RoutingSearchParameters.Builder`	`setUseMultiArmedBanditConcatenateOperators(boolean value)` If true, the solver will use multi-armed bandit concatenate operators.
`RoutingSearchParameters.Builder`	`setUseUnfilteredFirstSolutionStrategy(boolean value)` --- Advanced first solutions strategy settings --- Don't touch these unless you know what you are doing.

Methods inherited from class com.google.protobuf.GeneratedMessage.Builder
addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder
mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable
```
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
```
Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<RoutingSearchParameters.Builder>

clear
```
public RoutingSearchParameters.Builder clear()
```
Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessage.Builder<RoutingSearchParameters.Builder>

getDescriptorForType
```
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
```
Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<RoutingSearchParameters.Builder>

getDefaultInstanceForType
```
public RoutingSearchParameters getDefaultInstanceForType()
```
Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build
```
public RoutingSearchParameters build()
```
Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial
```
public RoutingSearchParameters buildPartial()
```
Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

mergeFrom
```
public RoutingSearchParameters.Builder mergeFrom(com.google.protobuf.Message other)
```
Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RoutingSearchParameters.Builder>

mergeFrom

public RoutingSearchParameters.Builder mergeFrom(RoutingSearchParameters other)

isInitialized
```
public final boolean isInitialized()
```
Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage.Builder<RoutingSearchParameters.Builder>

mergeFrom
```
public RoutingSearchParameters.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                                 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                          throws java.io.IOException
```
Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RoutingSearchParameters.Builder>

Throws:

java.io.IOException

getFirstSolutionStrategyValue
```
public int getFirstSolutionStrategyValue()
```
```
 First solution strategies, used as starting point of local search.
 
```
.operations_research.FirstSolutionStrategy.Value first_solution_strategy = 1;
Specified by:

getFirstSolutionStrategyValue in interface RoutingSearchParametersOrBuilder

Returns:

The enum numeric value on the wire for firstSolutionStrategy.

setFirstSolutionStrategyValue
```
public RoutingSearchParameters.Builder setFirstSolutionStrategyValue(int value)
```
```
 First solution strategies, used as starting point of local search.
 
```
.operations_research.FirstSolutionStrategy.Value first_solution_strategy = 1;
Parameters:

value - The enum numeric value on the wire for firstSolutionStrategy to set.

Returns:

This builder for chaining.

getFirstSolutionStrategy
```
public FirstSolutionStrategy.Value getFirstSolutionStrategy()
```
```
 First solution strategies, used as starting point of local search.
 
```
.operations_research.FirstSolutionStrategy.Value first_solution_strategy = 1;
Specified by:

getFirstSolutionStrategy in interface RoutingSearchParametersOrBuilder

Returns:

The firstSolutionStrategy.

setFirstSolutionStrategy
```
public RoutingSearchParameters.Builder setFirstSolutionStrategy(FirstSolutionStrategy.Value value)
```
```
 First solution strategies, used as starting point of local search.
 
```
.operations_research.FirstSolutionStrategy.Value first_solution_strategy = 1;
Parameters:

value - The firstSolutionStrategy to set.

Returns:

This builder for chaining.

clearFirstSolutionStrategy

public RoutingSearchParameters.Builder clearFirstSolutionStrategy()

 First solution strategies, used as starting point of local search.

.operations_research.FirstSolutionStrategy.Value first_solution_strategy = 1;

Returns:: This builder for chaining.

getUseUnfilteredFirstSolutionStrategy

public boolean getUseUnfilteredFirstSolutionStrategy()

 --- Advanced first solutions strategy settings ---
 Don't touch these unless you know what you are doing.

 Use filtered version of first solution strategy if available.

bool use_unfiltered_first_solution_strategy = 2;

Specified by:: getUseUnfilteredFirstSolutionStrategy in interface RoutingSearchParametersOrBuilder
Returns:: The useUnfilteredFirstSolutionStrategy.

setUseUnfilteredFirstSolutionStrategy

public RoutingSearchParameters.Builder setUseUnfilteredFirstSolutionStrategy(boolean value)

 --- Advanced first solutions strategy settings ---
 Don't touch these unless you know what you are doing.

 Use filtered version of first solution strategy if available.

bool use_unfiltered_first_solution_strategy = 2;

Parameters:: value - The useUnfilteredFirstSolutionStrategy to set.
Returns:: This builder for chaining.

clearUseUnfilteredFirstSolutionStrategy

public RoutingSearchParameters.Builder clearUseUnfilteredFirstSolutionStrategy()

 --- Advanced first solutions strategy settings ---
 Don't touch these unless you know what you are doing.

 Use filtered version of first solution strategy if available.

bool use_unfiltered_first_solution_strategy = 2;

Returns:: This builder for chaining.

getSavingsNeighborsRatio

public double getSavingsNeighborsRatio()

 Parameters specific to the Savings first solution heuristic.
 Ratio (in ]0, 1]) of neighbors to consider for each node when constructing
 the savings. If unspecified, its value is considered to be 1.0.

double savings_neighbors_ratio = 14;

Specified by:: getSavingsNeighborsRatio in interface RoutingSearchParametersOrBuilder
Returns:: The savingsNeighborsRatio.

setSavingsNeighborsRatio

public RoutingSearchParameters.Builder setSavingsNeighborsRatio(double value)

 Parameters specific to the Savings first solution heuristic.
 Ratio (in ]0, 1]) of neighbors to consider for each node when constructing
 the savings. If unspecified, its value is considered to be 1.0.

double savings_neighbors_ratio = 14;

Parameters:: value - The savingsNeighborsRatio to set.
Returns:: This builder for chaining.

clearSavingsNeighborsRatio

public RoutingSearchParameters.Builder clearSavingsNeighborsRatio()

 Parameters specific to the Savings first solution heuristic.
 Ratio (in ]0, 1]) of neighbors to consider for each node when constructing
 the savings. If unspecified, its value is considered to be 1.0.

double savings_neighbors_ratio = 14;

Returns:: This builder for chaining.

getSavingsMaxMemoryUsageBytes

public double getSavingsMaxMemoryUsageBytes()

 The number of neighbors considered for each node in the Savings heuristic
 is chosen so that the space used to store the savings doesn't exceed
 savings_max_memory_usage_bytes, which must be in ]0, 1e10].
 NOTE: If both savings_neighbors_ratio and savings_max_memory_usage_bytes
 are specified, the number of neighbors considered for each node will be the
 minimum of the two numbers determined by these parameters.

double savings_max_memory_usage_bytes = 23;

Specified by:: getSavingsMaxMemoryUsageBytes in interface RoutingSearchParametersOrBuilder
Returns:: The savingsMaxMemoryUsageBytes.

setSavingsMaxMemoryUsageBytes

public RoutingSearchParameters.Builder setSavingsMaxMemoryUsageBytes(double value)

 The number of neighbors considered for each node in the Savings heuristic
 is chosen so that the space used to store the savings doesn't exceed
 savings_max_memory_usage_bytes, which must be in ]0, 1e10].
 NOTE: If both savings_neighbors_ratio and savings_max_memory_usage_bytes
 are specified, the number of neighbors considered for each node will be the
 minimum of the two numbers determined by these parameters.

double savings_max_memory_usage_bytes = 23;

Parameters:: value - The savingsMaxMemoryUsageBytes to set.
Returns:: This builder for chaining.

clearSavingsMaxMemoryUsageBytes

public RoutingSearchParameters.Builder clearSavingsMaxMemoryUsageBytes()

 The number of neighbors considered for each node in the Savings heuristic
 is chosen so that the space used to store the savings doesn't exceed
 savings_max_memory_usage_bytes, which must be in ]0, 1e10].
 NOTE: If both savings_neighbors_ratio and savings_max_memory_usage_bytes
 are specified, the number of neighbors considered for each node will be the
 minimum of the two numbers determined by these parameters.

double savings_max_memory_usage_bytes = 23;

Returns:: This builder for chaining.

getSavingsAddReverseArcs
```
public boolean getSavingsAddReverseArcs()
```
```
 Add savings related to reverse arcs when finding the nearest neighbors
 of the nodes.
 
```
bool savings_add_reverse_arcs = 15;
Specified by:

getSavingsAddReverseArcs in interface RoutingSearchParametersOrBuilder

Returns:

The savingsAddReverseArcs.

setSavingsAddReverseArcs

public RoutingSearchParameters.Builder setSavingsAddReverseArcs(boolean value)

 Add savings related to reverse arcs when finding the nearest neighbors
 of the nodes.

bool savings_add_reverse_arcs = 15;

Parameters:: value - The savingsAddReverseArcs to set.
Returns:: This builder for chaining.

clearSavingsAddReverseArcs

public RoutingSearchParameters.Builder clearSavingsAddReverseArcs()

 Add savings related to reverse arcs when finding the nearest neighbors
 of the nodes.

bool savings_add_reverse_arcs = 15;

Returns:: This builder for chaining.

getSavingsArcCoefficient

public double getSavingsArcCoefficient()

 Coefficient of the cost of the arc for which the saving value is being
 computed:
 Saving(a-->b) = Cost(a-->end) + Cost(start-->b)
 - savings_arc_coefficient * Cost(a-->b)
 This parameter must be greater than 0, and its default value is 1.

double savings_arc_coefficient = 18;

Specified by:: getSavingsArcCoefficient in interface RoutingSearchParametersOrBuilder
Returns:: The savingsArcCoefficient.

setSavingsArcCoefficient

public RoutingSearchParameters.Builder setSavingsArcCoefficient(double value)

 Coefficient of the cost of the arc for which the saving value is being
 computed:
 Saving(a-->b) = Cost(a-->end) + Cost(start-->b)
 - savings_arc_coefficient * Cost(a-->b)
 This parameter must be greater than 0, and its default value is 1.

double savings_arc_coefficient = 18;

Parameters:: value - The savingsArcCoefficient to set.
Returns:: This builder for chaining.

clearSavingsArcCoefficient

public RoutingSearchParameters.Builder clearSavingsArcCoefficient()

 Coefficient of the cost of the arc for which the saving value is being
 computed:
 Saving(a-->b) = Cost(a-->end) + Cost(start-->b)
 - savings_arc_coefficient * Cost(a-->b)
 This parameter must be greater than 0, and its default value is 1.

double savings_arc_coefficient = 18;

Returns:: This builder for chaining.

getSavingsParallelRoutes
```
public boolean getSavingsParallelRoutes()
```
```
 When true, the routes are built in parallel, sequentially otherwise.
 
```
bool savings_parallel_routes = 19;
Specified by:

getSavingsParallelRoutes in interface RoutingSearchParametersOrBuilder

Returns:

The savingsParallelRoutes.

setSavingsParallelRoutes

public RoutingSearchParameters.Builder setSavingsParallelRoutes(boolean value)

 When true, the routes are built in parallel, sequentially otherwise.

bool savings_parallel_routes = 19;

Parameters:: value - The savingsParallelRoutes to set.
Returns:: This builder for chaining.

clearSavingsParallelRoutes

public RoutingSearchParameters.Builder clearSavingsParallelRoutes()

 When true, the routes are built in parallel, sequentially otherwise.

bool savings_parallel_routes = 19;

Returns:: This builder for chaining.

getCheapestInsertionFarthestSeedsRatio

public double getCheapestInsertionFarthestSeedsRatio()

 Ratio (between 0 and 1) of available vehicles in the model on which
 farthest nodes of the model are inserted as seeds in the
 GlobalCheapestInsertion first solution heuristic.

double cheapest_insertion_farthest_seeds_ratio = 16;

Specified by:: getCheapestInsertionFarthestSeedsRatio in interface RoutingSearchParametersOrBuilder
Returns:: The cheapestInsertionFarthestSeedsRatio.

setCheapestInsertionFarthestSeedsRatio

public RoutingSearchParameters.Builder setCheapestInsertionFarthestSeedsRatio(double value)

 Ratio (between 0 and 1) of available vehicles in the model on which
 farthest nodes of the model are inserted as seeds in the
 GlobalCheapestInsertion first solution heuristic.

double cheapest_insertion_farthest_seeds_ratio = 16;

Parameters:: value - The cheapestInsertionFarthestSeedsRatio to set.
Returns:: This builder for chaining.

clearCheapestInsertionFarthestSeedsRatio

public RoutingSearchParameters.Builder clearCheapestInsertionFarthestSeedsRatio()

 Ratio (between 0 and 1) of available vehicles in the model on which
 farthest nodes of the model are inserted as seeds in the
 GlobalCheapestInsertion first solution heuristic.

double cheapest_insertion_farthest_seeds_ratio = 16;

Returns:: This builder for chaining.

getCheapestInsertionFirstSolutionNeighborsRatio

public double getCheapestInsertionFirstSolutionNeighborsRatio()

 Ratio (in ]0, 1]) of closest non start/end nodes to consider as neighbors
 for each node when creating new insertions in the parallel/sequential
 cheapest insertion heuristic.
 If not overridden, its default value is 1, meaning all neighbors will be
 considered.
 The neighborhood ratio is coupled with the corresponding min_neighbors
 integer, indicating the minimum number of neighbors to consider for each
 node:
 num_closest_neighbors =
 max(min_neighbors, neighbors_ratio * NUM_NON_START_END_NODES)
 This minimum number of neighbors must be greater or equal to 1, its
 default value.

 Neighbors ratio and minimum number of neighbors for the first solution
 heuristic.

double cheapest_insertion_first_solution_neighbors_ratio = 21;

Specified by:: getCheapestInsertionFirstSolutionNeighborsRatio in interface RoutingSearchParametersOrBuilder
Returns:: The cheapestInsertionFirstSolutionNeighborsRatio.

setCheapestInsertionFirstSolutionNeighborsRatio

public RoutingSearchParameters.Builder setCheapestInsertionFirstSolutionNeighborsRatio(double value)

 Ratio (in ]0, 1]) of closest non start/end nodes to consider as neighbors
 for each node when creating new insertions in the parallel/sequential
 cheapest insertion heuristic.
 If not overridden, its default value is 1, meaning all neighbors will be
 considered.
 The neighborhood ratio is coupled with the corresponding min_neighbors
 integer, indicating the minimum number of neighbors to consider for each
 node:
 num_closest_neighbors =
 max(min_neighbors, neighbors_ratio * NUM_NON_START_END_NODES)
 This minimum number of neighbors must be greater or equal to 1, its
 default value.

 Neighbors ratio and minimum number of neighbors for the first solution
 heuristic.

double cheapest_insertion_first_solution_neighbors_ratio = 21;

Parameters:: value - The cheapestInsertionFirstSolutionNeighborsRatio to set.
Returns:: This builder for chaining.

clearCheapestInsertionFirstSolutionNeighborsRatio

public RoutingSearchParameters.Builder clearCheapestInsertionFirstSolutionNeighborsRatio()

 Ratio (in ]0, 1]) of closest non start/end nodes to consider as neighbors
 for each node when creating new insertions in the parallel/sequential
 cheapest insertion heuristic.
 If not overridden, its default value is 1, meaning all neighbors will be
 considered.
 The neighborhood ratio is coupled with the corresponding min_neighbors
 integer, indicating the minimum number of neighbors to consider for each
 node:
 num_closest_neighbors =
 max(min_neighbors, neighbors_ratio * NUM_NON_START_END_NODES)
 This minimum number of neighbors must be greater or equal to 1, its
 default value.

 Neighbors ratio and minimum number of neighbors for the first solution
 heuristic.

double cheapest_insertion_first_solution_neighbors_ratio = 21;

Returns:: This builder for chaining.

getCheapestInsertionFirstSolutionMinNeighbors
```
public int getCheapestInsertionFirstSolutionMinNeighbors()
```
int32 cheapest_insertion_first_solution_min_neighbors = 44;

Specified by:

getCheapestInsertionFirstSolutionMinNeighbors in interface RoutingSearchParametersOrBuilder

Returns:

The cheapestInsertionFirstSolutionMinNeighbors.

setCheapestInsertionFirstSolutionMinNeighbors
```
public RoutingSearchParameters.Builder setCheapestInsertionFirstSolutionMinNeighbors(int value)
```
int32 cheapest_insertion_first_solution_min_neighbors = 44;

Parameters:

value - The cheapestInsertionFirstSolutionMinNeighbors to set.

Returns:

This builder for chaining.

clearCheapestInsertionFirstSolutionMinNeighbors
```
public RoutingSearchParameters.Builder clearCheapestInsertionFirstSolutionMinNeighbors()
```
int32 cheapest_insertion_first_solution_min_neighbors = 44;

Returns:

This builder for chaining.

getCheapestInsertionLsOperatorNeighborsRatio

public double getCheapestInsertionLsOperatorNeighborsRatio()

 Neighbors ratio and minimum number of neighbors for the heuristic when used
 in a local search operator (see
 local_search_operators.use_global_cheapest_insertion_path_lns and
 local_search_operators.use_global_cheapest_insertion_chain_lns below).

double cheapest_insertion_ls_operator_neighbors_ratio = 31;

Specified by:: getCheapestInsertionLsOperatorNeighborsRatio in interface RoutingSearchParametersOrBuilder
Returns:: The cheapestInsertionLsOperatorNeighborsRatio.

setCheapestInsertionLsOperatorNeighborsRatio

public RoutingSearchParameters.Builder setCheapestInsertionLsOperatorNeighborsRatio(double value)

 Neighbors ratio and minimum number of neighbors for the heuristic when used
 in a local search operator (see
 local_search_operators.use_global_cheapest_insertion_path_lns and
 local_search_operators.use_global_cheapest_insertion_chain_lns below).

double cheapest_insertion_ls_operator_neighbors_ratio = 31;

Parameters:: value - The cheapestInsertionLsOperatorNeighborsRatio to set.
Returns:: This builder for chaining.

clearCheapestInsertionLsOperatorNeighborsRatio

public RoutingSearchParameters.Builder clearCheapestInsertionLsOperatorNeighborsRatio()

 Neighbors ratio and minimum number of neighbors for the heuristic when used
 in a local search operator (see
 local_search_operators.use_global_cheapest_insertion_path_lns and
 local_search_operators.use_global_cheapest_insertion_chain_lns below).

double cheapest_insertion_ls_operator_neighbors_ratio = 31;

Returns:: This builder for chaining.

getCheapestInsertionLsOperatorMinNeighbors
```
public int getCheapestInsertionLsOperatorMinNeighbors()
```
int32 cheapest_insertion_ls_operator_min_neighbors = 45;

Specified by:

getCheapestInsertionLsOperatorMinNeighbors in interface RoutingSearchParametersOrBuilder

Returns:

The cheapestInsertionLsOperatorMinNeighbors.

setCheapestInsertionLsOperatorMinNeighbors
```
public RoutingSearchParameters.Builder setCheapestInsertionLsOperatorMinNeighbors(int value)
```
int32 cheapest_insertion_ls_operator_min_neighbors = 45;

Parameters:

value - The cheapestInsertionLsOperatorMinNeighbors to set.

Returns:

This builder for chaining.

clearCheapestInsertionLsOperatorMinNeighbors
```
public RoutingSearchParameters.Builder clearCheapestInsertionLsOperatorMinNeighbors()
```
int32 cheapest_insertion_ls_operator_min_neighbors = 45;

Returns:

This builder for chaining.

getCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization
```
public boolean getCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization()
```
```
 Whether or not to only consider closest neighbors when initializing the
 assignment for the first solution.
 
```
bool cheapest_insertion_first_solution_use_neighbors_ratio_for_initialization = 46;
Specified by:

getCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization in interface RoutingSearchParametersOrBuilder

Returns:

The cheapestInsertionFirstSolutionUseNeighborsRatioForInitialization.

setCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization
```
public RoutingSearchParameters.Builder setCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization(boolean value)
```
```
 Whether or not to only consider closest neighbors when initializing the
 assignment for the first solution.
 
```
bool cheapest_insertion_first_solution_use_neighbors_ratio_for_initialization = 46;
Parameters:

value - The cheapestInsertionFirstSolutionUseNeighborsRatioForInitialization to set.

Returns:

This builder for chaining.

clearCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization

public RoutingSearchParameters.Builder clearCheapestInsertionFirstSolutionUseNeighborsRatioForInitialization()

 Whether or not to only consider closest neighbors when initializing the
 assignment for the first solution.

bool cheapest_insertion_first_solution_use_neighbors_ratio_for_initialization = 46;

Returns:: This builder for chaining.

getCheapestInsertionAddUnperformedEntries
```
public boolean getCheapestInsertionAddUnperformedEntries()
```
```
 Whether or not to consider entries making the nodes/pairs unperformed in
 the GlobalCheapestInsertion heuristic.
 
```
bool cheapest_insertion_add_unperformed_entries = 40;
Specified by:

getCheapestInsertionAddUnperformedEntries in interface RoutingSearchParametersOrBuilder

Returns:

The cheapestInsertionAddUnperformedEntries.

setCheapestInsertionAddUnperformedEntries

public RoutingSearchParameters.Builder setCheapestInsertionAddUnperformedEntries(boolean value)

 Whether or not to consider entries making the nodes/pairs unperformed in
 the GlobalCheapestInsertion heuristic.

bool cheapest_insertion_add_unperformed_entries = 40;

Parameters:: value - The cheapestInsertionAddUnperformedEntries to set.
Returns:: This builder for chaining.

clearCheapestInsertionAddUnperformedEntries

public RoutingSearchParameters.Builder clearCheapestInsertionAddUnperformedEntries()

 Whether or not to consider entries making the nodes/pairs unperformed in
 the GlobalCheapestInsertion heuristic.

bool cheapest_insertion_add_unperformed_entries = 40;

Returns:: This builder for chaining.

getLocalCheapestInsertionPickupDeliveryStrategyValue
```
public int getLocalCheapestInsertionPickupDeliveryStrategyValue()
```
```
 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest insertion, both first solution heuristic and LNS.
 
```
.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_insertion_pickup_delivery_strategy = 49;
Specified by:

getLocalCheapestInsertionPickupDeliveryStrategyValue in interface RoutingSearchParametersOrBuilder

Returns:

The enum numeric value on the wire for localCheapestInsertionPickupDeliveryStrategy.

setLocalCheapestInsertionPickupDeliveryStrategyValue
```
public RoutingSearchParameters.Builder setLocalCheapestInsertionPickupDeliveryStrategyValue(int value)
```
```
 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest insertion, both first solution heuristic and LNS.
 
```
.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_insertion_pickup_delivery_strategy = 49;
Parameters:

value - The enum numeric value on the wire for localCheapestInsertionPickupDeliveryStrategy to set.

Returns:

This builder for chaining.

getLocalCheapestInsertionPickupDeliveryStrategy
```
public RoutingSearchParameters.PairInsertionStrategy getLocalCheapestInsertionPickupDeliveryStrategy()
```
```
 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest insertion, both first solution heuristic and LNS.
 
```
.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_insertion_pickup_delivery_strategy = 49;
Specified by:

getLocalCheapestInsertionPickupDeliveryStrategy in interface RoutingSearchParametersOrBuilder

Returns:

The localCheapestInsertionPickupDeliveryStrategy.

setLocalCheapestInsertionPickupDeliveryStrategy

public RoutingSearchParameters.Builder setLocalCheapestInsertionPickupDeliveryStrategy(RoutingSearchParameters.PairInsertionStrategy value)

 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest insertion, both first solution heuristic and LNS.

.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_insertion_pickup_delivery_strategy = 49;

Parameters:: value - The localCheapestInsertionPickupDeliveryStrategy to set.
Returns:: This builder for chaining.

clearLocalCheapestInsertionPickupDeliveryStrategy

public RoutingSearchParameters.Builder clearLocalCheapestInsertionPickupDeliveryStrategy()

 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest insertion, both first solution heuristic and LNS.

.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_insertion_pickup_delivery_strategy = 49;

Returns:: This builder for chaining.

getLocalCheapestCostInsertionPickupDeliveryStrategyValue
```
public int getLocalCheapestCostInsertionPickupDeliveryStrategyValue()
```
```
 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest cost insertion, both first solution heuristic and LNS.
 
```
.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_cost_insertion_pickup_delivery_strategy = 55;
Specified by:

getLocalCheapestCostInsertionPickupDeliveryStrategyValue in interface RoutingSearchParametersOrBuilder

Returns:

The enum numeric value on the wire for localCheapestCostInsertionPickupDeliveryStrategy.

setLocalCheapestCostInsertionPickupDeliveryStrategyValue
```
public RoutingSearchParameters.Builder setLocalCheapestCostInsertionPickupDeliveryStrategyValue(int value)
```
```
 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest cost insertion, both first solution heuristic and LNS.
 
```
.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_cost_insertion_pickup_delivery_strategy = 55;
Parameters:

value - The enum numeric value on the wire for localCheapestCostInsertionPickupDeliveryStrategy to set.

Returns:

This builder for chaining.

getLocalCheapestCostInsertionPickupDeliveryStrategy
```
public RoutingSearchParameters.PairInsertionStrategy getLocalCheapestCostInsertionPickupDeliveryStrategy()
```
```
 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest cost insertion, both first solution heuristic and LNS.
 
```
.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_cost_insertion_pickup_delivery_strategy = 55;
Specified by:

getLocalCheapestCostInsertionPickupDeliveryStrategy in interface RoutingSearchParametersOrBuilder

Returns:

The localCheapestCostInsertionPickupDeliveryStrategy.

setLocalCheapestCostInsertionPickupDeliveryStrategy

public RoutingSearchParameters.Builder setLocalCheapestCostInsertionPickupDeliveryStrategy(RoutingSearchParameters.PairInsertionStrategy value)

 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest cost insertion, both first solution heuristic and LNS.

.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_cost_insertion_pickup_delivery_strategy = 55;

Parameters:: value - The localCheapestCostInsertionPickupDeliveryStrategy to set.
Returns:: This builder for chaining.

clearLocalCheapestCostInsertionPickupDeliveryStrategy

public RoutingSearchParameters.Builder clearLocalCheapestCostInsertionPickupDeliveryStrategy()

 Choice of insertion strategy for pickup/delivery pairs, used in local
 cheapest cost insertion, both first solution heuristic and LNS.

.operations_research.RoutingSearchParameters.PairInsertionStrategy local_cheapest_cost_insertion_pickup_delivery_strategy = 55;

Returns:: This builder for chaining.

getChristofidesUseMinimumMatching
```
public boolean getChristofidesUseMinimumMatching()
```
```
 If true use minimum matching instead of minimal matching in the
 Christofides algorithm.
 
```
bool christofides_use_minimum_matching = 30;
Specified by:

getChristofidesUseMinimumMatching in interface RoutingSearchParametersOrBuilder

Returns:

The christofidesUseMinimumMatching.

setChristofidesUseMinimumMatching

public RoutingSearchParameters.Builder setChristofidesUseMinimumMatching(boolean value)

 If true use minimum matching instead of minimal matching in the
 Christofides algorithm.

bool christofides_use_minimum_matching = 30;

Parameters:: value - The christofidesUseMinimumMatching to set.
Returns:: This builder for chaining.

clearChristofidesUseMinimumMatching

public RoutingSearchParameters.Builder clearChristofidesUseMinimumMatching()

 If true use minimum matching instead of minimal matching in the
 Christofides algorithm.

bool christofides_use_minimum_matching = 30;

Returns:: This builder for chaining.

getFirstSolutionOptimizationPeriod

public int getFirstSolutionOptimizationPeriod()

 If non zero, a period p indicates that every p node insertions or additions
 to a path, an optimization of the current partial solution will be
 performed. As of 12/2023:
 - this requires that a secondary routing model has been passed to the main
 one,
 - this is only supported by LOCAL_CHEAPEST_INSERTION and
 LOCAL_CHEAPEST_COST_INSERTION.

int32 first_solution_optimization_period = 59;

Specified by:: getFirstSolutionOptimizationPeriod in interface RoutingSearchParametersOrBuilder
Returns:: The firstSolutionOptimizationPeriod.

setFirstSolutionOptimizationPeriod

public RoutingSearchParameters.Builder setFirstSolutionOptimizationPeriod(int value)

 If non zero, a period p indicates that every p node insertions or additions
 to a path, an optimization of the current partial solution will be
 performed. As of 12/2023:
 - this requires that a secondary routing model has been passed to the main
 one,
 - this is only supported by LOCAL_CHEAPEST_INSERTION and
 LOCAL_CHEAPEST_COST_INSERTION.

int32 first_solution_optimization_period = 59;

Parameters:: value - The firstSolutionOptimizationPeriod to set.
Returns:: This builder for chaining.

clearFirstSolutionOptimizationPeriod

public RoutingSearchParameters.Builder clearFirstSolutionOptimizationPeriod()

 If non zero, a period p indicates that every p node insertions or additions
 to a path, an optimization of the current partial solution will be
 performed. As of 12/2023:
 - this requires that a secondary routing model has been passed to the main
 one,
 - this is only supported by LOCAL_CHEAPEST_INSERTION and
 LOCAL_CHEAPEST_COST_INSERTION.

int32 first_solution_optimization_period = 59;

Returns:: This builder for chaining.

hasLocalSearchOperators
```
public boolean hasLocalSearchOperators()
```
.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

Specified by:

hasLocalSearchOperators in interface RoutingSearchParametersOrBuilder

Returns:

Whether the localSearchOperators field is set.

getLocalSearchOperators
```
public RoutingSearchParameters.LocalSearchNeighborhoodOperators getLocalSearchOperators()
```
.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

Specified by:

getLocalSearchOperators in interface RoutingSearchParametersOrBuilder

Returns:

The localSearchOperators.

setLocalSearchOperators

public RoutingSearchParameters.Builder setLocalSearchOperators(RoutingSearchParameters.LocalSearchNeighborhoodOperators value)

.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

setLocalSearchOperators

public RoutingSearchParameters.Builder setLocalSearchOperators(RoutingSearchParameters.LocalSearchNeighborhoodOperators.Builder builderForValue)

.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

mergeLocalSearchOperators

public RoutingSearchParameters.Builder mergeLocalSearchOperators(RoutingSearchParameters.LocalSearchNeighborhoodOperators value)

.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

clearLocalSearchOperators
```
public RoutingSearchParameters.Builder clearLocalSearchOperators()
```
.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

getLocalSearchOperatorsBuilder
```
public RoutingSearchParameters.LocalSearchNeighborhoodOperators.Builder getLocalSearchOperatorsBuilder()
```
.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

getLocalSearchOperatorsOrBuilder
```
public RoutingSearchParameters.LocalSearchNeighborhoodOperatorsOrBuilder getLocalSearchOperatorsOrBuilder()
```
.operations_research.RoutingSearchParameters.LocalSearchNeighborhoodOperators local_search_operators = 3;

Specified by:

getLocalSearchOperatorsOrBuilder in interface RoutingSearchParametersOrBuilder

getLsOperatorNeighborsRatio

public double getLsOperatorNeighborsRatio()

 Neighbors ratio and minimum number of neighbors considered in local
 search operators (see cheapest_insertion_first_solution_neighbors_ratio
 and cheapest_insertion_first_solution_min_neighbors for more information).

double ls_operator_neighbors_ratio = 53;

Specified by:: getLsOperatorNeighborsRatio in interface RoutingSearchParametersOrBuilder
Returns:: The lsOperatorNeighborsRatio.

setLsOperatorNeighborsRatio

public RoutingSearchParameters.Builder setLsOperatorNeighborsRatio(double value)

 Neighbors ratio and minimum number of neighbors considered in local
 search operators (see cheapest_insertion_first_solution_neighbors_ratio
 and cheapest_insertion_first_solution_min_neighbors for more information).

double ls_operator_neighbors_ratio = 53;

Parameters:: value - The lsOperatorNeighborsRatio to set.
Returns:: This builder for chaining.

clearLsOperatorNeighborsRatio

public RoutingSearchParameters.Builder clearLsOperatorNeighborsRatio()

 Neighbors ratio and minimum number of neighbors considered in local
 search operators (see cheapest_insertion_first_solution_neighbors_ratio
 and cheapest_insertion_first_solution_min_neighbors for more information).

double ls_operator_neighbors_ratio = 53;

Returns:: This builder for chaining.

getLsOperatorMinNeighbors
```
public int getLsOperatorMinNeighbors()
```
int32 ls_operator_min_neighbors = 54;

Specified by:

getLsOperatorMinNeighbors in interface RoutingSearchParametersOrBuilder

Returns:

The lsOperatorMinNeighbors.

setLsOperatorMinNeighbors
```
public RoutingSearchParameters.Builder setLsOperatorMinNeighbors(int value)
```
int32 ls_operator_min_neighbors = 54;

Parameters:

value - The lsOperatorMinNeighbors to set.

Returns:

This builder for chaining.

clearLsOperatorMinNeighbors
```
public RoutingSearchParameters.Builder clearLsOperatorMinNeighbors()
```
int32 ls_operator_min_neighbors = 54;

Returns:

This builder for chaining.

getUseMultiArmedBanditConcatenateOperators
```
public boolean getUseMultiArmedBanditConcatenateOperators()
```
```
 If true, the solver will use multi-armed bandit concatenate operators. It
 dynamically chooses the next neighbor operator in order to get the best
 objective improvement.
 
```
bool use_multi_armed_bandit_concatenate_operators = 41;
Specified by:

getUseMultiArmedBanditConcatenateOperators in interface RoutingSearchParametersOrBuilder

Returns:

The useMultiArmedBanditConcatenateOperators.

setUseMultiArmedBanditConcatenateOperators

public RoutingSearchParameters.Builder setUseMultiArmedBanditConcatenateOperators(boolean value)

 If true, the solver will use multi-armed bandit concatenate operators. It
 dynamically chooses the next neighbor operator in order to get the best
 objective improvement.

bool use_multi_armed_bandit_concatenate_operators = 41;

Parameters:: value - The useMultiArmedBanditConcatenateOperators to set.
Returns:: This builder for chaining.

clearUseMultiArmedBanditConcatenateOperators

public RoutingSearchParameters.Builder clearUseMultiArmedBanditConcatenateOperators()

 If true, the solver will use multi-armed bandit concatenate operators. It
 dynamically chooses the next neighbor operator in order to get the best
 objective improvement.

bool use_multi_armed_bandit_concatenate_operators = 41;

Returns:: This builder for chaining.

getMultiArmedBanditCompoundOperatorMemoryCoefficient

public double getMultiArmedBanditCompoundOperatorMemoryCoefficient()

 Memory coefficient related to the multi-armed bandit compound operator.
 Sets how much the objective improvement of previous accepted neighbors
 influence the current average improvement.
 This parameter should be between 0 and 1.

double multi_armed_bandit_compound_operator_memory_coefficient = 42;

Specified by:: getMultiArmedBanditCompoundOperatorMemoryCoefficient in interface RoutingSearchParametersOrBuilder
Returns:: The multiArmedBanditCompoundOperatorMemoryCoefficient.

setMultiArmedBanditCompoundOperatorMemoryCoefficient

public RoutingSearchParameters.Builder setMultiArmedBanditCompoundOperatorMemoryCoefficient(double value)

 Memory coefficient related to the multi-armed bandit compound operator.
 Sets how much the objective improvement of previous accepted neighbors
 influence the current average improvement.
 This parameter should be between 0 and 1.

double multi_armed_bandit_compound_operator_memory_coefficient = 42;

Parameters:: value - The multiArmedBanditCompoundOperatorMemoryCoefficient to set.
Returns:: This builder for chaining.

clearMultiArmedBanditCompoundOperatorMemoryCoefficient

public RoutingSearchParameters.Builder clearMultiArmedBanditCompoundOperatorMemoryCoefficient()

 Memory coefficient related to the multi-armed bandit compound operator.
 Sets how much the objective improvement of previous accepted neighbors
 influence the current average improvement.
 This parameter should be between 0 and 1.

double multi_armed_bandit_compound_operator_memory_coefficient = 42;

Returns:: This builder for chaining.

getMultiArmedBanditCompoundOperatorExplorationCoefficient
```
public double getMultiArmedBanditCompoundOperatorExplorationCoefficient()
```
```
 Positive parameter defining the exploration coefficient of the multi-armed
 bandit compound operator. Sets how often we explore rarely used and
 unsuccessful in the past operators
 
```
double multi_armed_bandit_compound_operator_exploration_coefficient = 43;
Specified by:

getMultiArmedBanditCompoundOperatorExplorationCoefficient in interface RoutingSearchParametersOrBuilder

Returns:

The multiArmedBanditCompoundOperatorExplorationCoefficient.

setMultiArmedBanditCompoundOperatorExplorationCoefficient

public RoutingSearchParameters.Builder setMultiArmedBanditCompoundOperatorExplorationCoefficient(double value)

 Positive parameter defining the exploration coefficient of the multi-armed
 bandit compound operator. Sets how often we explore rarely used and
 unsuccessful in the past operators

double multi_armed_bandit_compound_operator_exploration_coefficient = 43;

Parameters:: value - The multiArmedBanditCompoundOperatorExplorationCoefficient to set.
Returns:: This builder for chaining.

clearMultiArmedBanditCompoundOperatorExplorationCoefficient

public RoutingSearchParameters.Builder clearMultiArmedBanditCompoundOperatorExplorationCoefficient()

 Positive parameter defining the exploration coefficient of the multi-armed
 bandit compound operator. Sets how often we explore rarely used and
 unsuccessful in the past operators

double multi_armed_bandit_compound_operator_exploration_coefficient = 43;

Returns:: This builder for chaining.

getRelocateExpensiveChainNumArcsToConsider

public int getRelocateExpensiveChainNumArcsToConsider()

 Number of expensive arcs to consider cutting in the RelocateExpensiveChain
 neighborhood operator (see
 LocalSearchNeighborhoodOperators.use_relocate_expensive_chain()).
 This parameter must be greater than 2.
 NOTE(user): The number of neighbors generated by the operator for
 relocate_expensive_chain_num_arcs_to_consider = K is around
 K*(K-1)/2 * number_of_routes * number_of_nodes.

int32 relocate_expensive_chain_num_arcs_to_consider = 20;

Specified by:: getRelocateExpensiveChainNumArcsToConsider in interface RoutingSearchParametersOrBuilder
Returns:: The relocateExpensiveChainNumArcsToConsider.

setRelocateExpensiveChainNumArcsToConsider

public RoutingSearchParameters.Builder setRelocateExpensiveChainNumArcsToConsider(int value)

 Number of expensive arcs to consider cutting in the RelocateExpensiveChain
 neighborhood operator (see
 LocalSearchNeighborhoodOperators.use_relocate_expensive_chain()).
 This parameter must be greater than 2.
 NOTE(user): The number of neighbors generated by the operator for
 relocate_expensive_chain_num_arcs_to_consider = K is around
 K*(K-1)/2 * number_of_routes * number_of_nodes.

int32 relocate_expensive_chain_num_arcs_to_consider = 20;

Parameters:: value - The relocateExpensiveChainNumArcsToConsider to set.
Returns:: This builder for chaining.

clearRelocateExpensiveChainNumArcsToConsider

public RoutingSearchParameters.Builder clearRelocateExpensiveChainNumArcsToConsider()

 Number of expensive arcs to consider cutting in the RelocateExpensiveChain
 neighborhood operator (see
 LocalSearchNeighborhoodOperators.use_relocate_expensive_chain()).
 This parameter must be greater than 2.
 NOTE(user): The number of neighbors generated by the operator for
 relocate_expensive_chain_num_arcs_to_consider = K is around
 K*(K-1)/2 * number_of_routes * number_of_nodes.

int32 relocate_expensive_chain_num_arcs_to_consider = 20;

Returns:: This builder for chaining.

getHeuristicExpensiveChainLnsNumArcsToConsider
```
public int getHeuristicExpensiveChainLnsNumArcsToConsider()
```
```
 Number of expensive arcs to consider cutting in the
 FilteredHeuristicExpensiveChainLNSOperator operator.
 
```
int32 heuristic_expensive_chain_lns_num_arcs_to_consider = 32;
Specified by:

getHeuristicExpensiveChainLnsNumArcsToConsider in interface RoutingSearchParametersOrBuilder

Returns:

The heuristicExpensiveChainLnsNumArcsToConsider.

setHeuristicExpensiveChainLnsNumArcsToConsider
```
public RoutingSearchParameters.Builder setHeuristicExpensiveChainLnsNumArcsToConsider(int value)
```
```
 Number of expensive arcs to consider cutting in the
 FilteredHeuristicExpensiveChainLNSOperator operator.
 
```
int32 heuristic_expensive_chain_lns_num_arcs_to_consider = 32;
Parameters:

value - The heuristicExpensiveChainLnsNumArcsToConsider to set.

Returns:

This builder for chaining.

clearHeuristicExpensiveChainLnsNumArcsToConsider

public RoutingSearchParameters.Builder clearHeuristicExpensiveChainLnsNumArcsToConsider()

 Number of expensive arcs to consider cutting in the
 FilteredHeuristicExpensiveChainLNSOperator operator.

int32 heuristic_expensive_chain_lns_num_arcs_to_consider = 32;

Returns:: This builder for chaining.

getHeuristicCloseNodesLnsNumNodes
```
public int getHeuristicCloseNodesLnsNumNodes()
```
```
 Number of closest nodes to consider for each node during the destruction
 phase of the FilteredHeuristicCloseNodesLNSOperator.
 
```
int32 heuristic_close_nodes_lns_num_nodes = 35;
Specified by:

getHeuristicCloseNodesLnsNumNodes in interface RoutingSearchParametersOrBuilder

Returns:

The heuristicCloseNodesLnsNumNodes.

setHeuristicCloseNodesLnsNumNodes

public RoutingSearchParameters.Builder setHeuristicCloseNodesLnsNumNodes(int value)

 Number of closest nodes to consider for each node during the destruction
 phase of the FilteredHeuristicCloseNodesLNSOperator.

int32 heuristic_close_nodes_lns_num_nodes = 35;

Parameters:: value - The heuristicCloseNodesLnsNumNodes to set.
Returns:: This builder for chaining.

clearHeuristicCloseNodesLnsNumNodes

public RoutingSearchParameters.Builder clearHeuristicCloseNodesLnsNumNodes()

 Number of closest nodes to consider for each node during the destruction
 phase of the FilteredHeuristicCloseNodesLNSOperator.

int32 heuristic_close_nodes_lns_num_nodes = 35;

Returns:: This builder for chaining.

getLocalSearchMetaheuristicValue
```
public int getLocalSearchMetaheuristicValue()
```
```
 Local search metaheuristics used to guide the search.
 
```
.operations_research.LocalSearchMetaheuristic.Value local_search_metaheuristic = 4;
Specified by:

getLocalSearchMetaheuristicValue in interface RoutingSearchParametersOrBuilder

Returns:

The enum numeric value on the wire for localSearchMetaheuristic.

setLocalSearchMetaheuristicValue
```
public RoutingSearchParameters.Builder setLocalSearchMetaheuristicValue(int value)
```
```
 Local search metaheuristics used to guide the search.
 
```
.operations_research.LocalSearchMetaheuristic.Value local_search_metaheuristic = 4;
Parameters:

value - The enum numeric value on the wire for localSearchMetaheuristic to set.

Returns:

This builder for chaining.

getLocalSearchMetaheuristic
```
public LocalSearchMetaheuristic.Value getLocalSearchMetaheuristic()
```
```
 Local search metaheuristics used to guide the search.
 
```
.operations_research.LocalSearchMetaheuristic.Value local_search_metaheuristic = 4;
Specified by:

getLocalSearchMetaheuristic in interface RoutingSearchParametersOrBuilder

Returns:

The localSearchMetaheuristic.

setLocalSearchMetaheuristic
```
public RoutingSearchParameters.Builder setLocalSearchMetaheuristic(LocalSearchMetaheuristic.Value value)
```
```
 Local search metaheuristics used to guide the search.
 
```
.operations_research.LocalSearchMetaheuristic.Value local_search_metaheuristic = 4;
Parameters:

value - The localSearchMetaheuristic to set.

Returns:

This builder for chaining.

clearLocalSearchMetaheuristic
```
public RoutingSearchParameters.Builder clearLocalSearchMetaheuristic()
```
```
 Local search metaheuristics used to guide the search.
 
```
.operations_research.LocalSearchMetaheuristic.Value local_search_metaheuristic = 4;
Returns:

This builder for chaining.

getGuidedLocalSearchLambdaCoefficient

public double getGuidedLocalSearchLambdaCoefficient()

 These are advanced settings which should not be modified unless you know
 what you are doing.
 Lambda coefficient used to penalize arc costs when GUIDED_LOCAL_SEARCH is
 used. Must be positive.

double guided_local_search_lambda_coefficient = 5;

Specified by:: getGuidedLocalSearchLambdaCoefficient in interface RoutingSearchParametersOrBuilder
Returns:: The guidedLocalSearchLambdaCoefficient.

setGuidedLocalSearchLambdaCoefficient

public RoutingSearchParameters.Builder setGuidedLocalSearchLambdaCoefficient(double value)

 These are advanced settings which should not be modified unless you know
 what you are doing.
 Lambda coefficient used to penalize arc costs when GUIDED_LOCAL_SEARCH is
 used. Must be positive.

double guided_local_search_lambda_coefficient = 5;

Parameters:: value - The guidedLocalSearchLambdaCoefficient to set.
Returns:: This builder for chaining.

clearGuidedLocalSearchLambdaCoefficient

public RoutingSearchParameters.Builder clearGuidedLocalSearchLambdaCoefficient()

 These are advanced settings which should not be modified unless you know
 what you are doing.
 Lambda coefficient used to penalize arc costs when GUIDED_LOCAL_SEARCH is
 used. Must be positive.

double guided_local_search_lambda_coefficient = 5;

Returns:: This builder for chaining.

getGuidedLocalSearchResetPenaltiesOnNewBestSolution
```
public boolean getGuidedLocalSearchResetPenaltiesOnNewBestSolution()
```
```
 Whether to reset penalties when a new best solution is found. The effect is
 that a greedy descent is started before the next penalization phase.
 
```
bool guided_local_search_reset_penalties_on_new_best_solution = 51;
Specified by:

getGuidedLocalSearchResetPenaltiesOnNewBestSolution in interface RoutingSearchParametersOrBuilder

Returns:

The guidedLocalSearchResetPenaltiesOnNewBestSolution.

setGuidedLocalSearchResetPenaltiesOnNewBestSolution

public RoutingSearchParameters.Builder setGuidedLocalSearchResetPenaltiesOnNewBestSolution(boolean value)

 Whether to reset penalties when a new best solution is found. The effect is
 that a greedy descent is started before the next penalization phase.

bool guided_local_search_reset_penalties_on_new_best_solution = 51;

Parameters:: value - The guidedLocalSearchResetPenaltiesOnNewBestSolution to set.
Returns:: This builder for chaining.

clearGuidedLocalSearchResetPenaltiesOnNewBestSolution

public RoutingSearchParameters.Builder clearGuidedLocalSearchResetPenaltiesOnNewBestSolution()

 Whether to reset penalties when a new best solution is found. The effect is
 that a greedy descent is started before the next penalization phase.

bool guided_local_search_reset_penalties_on_new_best_solution = 51;

Returns:: This builder for chaining.

getUseDepthFirstSearch

public boolean getUseDepthFirstSearch()

 --- Search control ---

 If true, the solver should use depth-first search rather than local search
 to solve the problem.

bool use_depth_first_search = 6;

Specified by:: getUseDepthFirstSearch in interface RoutingSearchParametersOrBuilder
Returns:: The useDepthFirstSearch.

setUseDepthFirstSearch

public RoutingSearchParameters.Builder setUseDepthFirstSearch(boolean value)

 --- Search control ---

 If true, the solver should use depth-first search rather than local search
 to solve the problem.

bool use_depth_first_search = 6;

Parameters:: value - The useDepthFirstSearch to set.
Returns:: This builder for chaining.

clearUseDepthFirstSearch

public RoutingSearchParameters.Builder clearUseDepthFirstSearch()

 --- Search control ---

 If true, the solver should use depth-first search rather than local search
 to solve the problem.

bool use_depth_first_search = 6;

Returns:: This builder for chaining.

getUseCpValue

public int getUseCpValue()

 If true, use the CP solver to find a solution. Either local or depth-first
 search will be used depending on the value of use_depth_first_search. Will
 be run before the CP-SAT solver (cf. use_cp_sat).

.operations_research.OptionalBoolean use_cp = 28;

Specified by:: getUseCpValue in interface RoutingSearchParametersOrBuilder
Returns:: The enum numeric value on the wire for useCp.

setUseCpValue

public RoutingSearchParameters.Builder setUseCpValue(int value)

 If true, use the CP solver to find a solution. Either local or depth-first
 search will be used depending on the value of use_depth_first_search. Will
 be run before the CP-SAT solver (cf. use_cp_sat).

.operations_research.OptionalBoolean use_cp = 28;

Parameters:: value - The enum numeric value on the wire for useCp to set.
Returns:: This builder for chaining.

getUseCp

public OptionalBoolean getUseCp()

 If true, use the CP solver to find a solution. Either local or depth-first
 search will be used depending on the value of use_depth_first_search. Will
 be run before the CP-SAT solver (cf. use_cp_sat).

.operations_research.OptionalBoolean use_cp = 28;

Specified by:: getUseCp in interface RoutingSearchParametersOrBuilder
Returns:: The useCp.

setUseCp

public RoutingSearchParameters.Builder setUseCp(OptionalBoolean value)

 If true, use the CP solver to find a solution. Either local or depth-first
 search will be used depending on the value of use_depth_first_search. Will
 be run before the CP-SAT solver (cf. use_cp_sat).

.operations_research.OptionalBoolean use_cp = 28;

Parameters:: value - The useCp to set.
Returns:: This builder for chaining.

clearUseCp

public RoutingSearchParameters.Builder clearUseCp()

 If true, use the CP solver to find a solution. Either local or depth-first
 search will be used depending on the value of use_depth_first_search. Will
 be run before the CP-SAT solver (cf. use_cp_sat).

.operations_research.OptionalBoolean use_cp = 28;

Returns:: This builder for chaining.

getUseCpSatValue

public int getUseCpSatValue()

 If true, use the CP-SAT solver to find a solution. If use_cp is also true,
 the CP-SAT solver will be run after the CP solver if there is time
 remaining and will use the CP solution as a hint for the CP-SAT search.
 As of 5/2019, only TSP models can be solved.

.operations_research.OptionalBoolean use_cp_sat = 27;

Specified by:: getUseCpSatValue in interface RoutingSearchParametersOrBuilder
Returns:: The enum numeric value on the wire for useCpSat.

setUseCpSatValue

public RoutingSearchParameters.Builder setUseCpSatValue(int value)

 If true, use the CP-SAT solver to find a solution. If use_cp is also true,
 the CP-SAT solver will be run after the CP solver if there is time
 remaining and will use the CP solution as a hint for the CP-SAT search.
 As of 5/2019, only TSP models can be solved.

.operations_research.OptionalBoolean use_cp_sat = 27;

Parameters:: value - The enum numeric value on the wire for useCpSat to set.
Returns:: This builder for chaining.

getUseCpSat

public OptionalBoolean getUseCpSat()

 If true, use the CP-SAT solver to find a solution. If use_cp is also true,
 the CP-SAT solver will be run after the CP solver if there is time
 remaining and will use the CP solution as a hint for the CP-SAT search.
 As of 5/2019, only TSP models can be solved.

.operations_research.OptionalBoolean use_cp_sat = 27;

Specified by:: getUseCpSat in interface RoutingSearchParametersOrBuilder
Returns:: The useCpSat.

setUseCpSat

public RoutingSearchParameters.Builder setUseCpSat(OptionalBoolean value)

 If true, use the CP-SAT solver to find a solution. If use_cp is also true,
 the CP-SAT solver will be run after the CP solver if there is time
 remaining and will use the CP solution as a hint for the CP-SAT search.
 As of 5/2019, only TSP models can be solved.

.operations_research.OptionalBoolean use_cp_sat = 27;

Parameters:: value - The useCpSat to set.
Returns:: This builder for chaining.

clearUseCpSat

public RoutingSearchParameters.Builder clearUseCpSat()

 If true, use the CP-SAT solver to find a solution. If use_cp is also true,
 the CP-SAT solver will be run after the CP solver if there is time
 remaining and will use the CP solution as a hint for the CP-SAT search.
 As of 5/2019, only TSP models can be solved.

.operations_research.OptionalBoolean use_cp_sat = 27;

Returns:: This builder for chaining.

getUseGeneralizedCpSatValue

public int getUseGeneralizedCpSatValue()

 If true, use the CP-SAT solver to find a solution on generalized routing
 model. If use_cp is also true, the CP-SAT solver will be run after the CP
 solver if there is time remaining and will use the CP solution as a hint
 for the CP-SAT search.

.operations_research.OptionalBoolean use_generalized_cp_sat = 47;

Specified by:: getUseGeneralizedCpSatValue in interface RoutingSearchParametersOrBuilder
Returns:: The enum numeric value on the wire for useGeneralizedCpSat.

setUseGeneralizedCpSatValue

public RoutingSearchParameters.Builder setUseGeneralizedCpSatValue(int value)

 If true, use the CP-SAT solver to find a solution on generalized routing
 model. If use_cp is also true, the CP-SAT solver will be run after the CP
 solver if there is time remaining and will use the CP solution as a hint
 for the CP-SAT search.

.operations_research.OptionalBoolean use_generalized_cp_sat = 47;

Parameters:: value - The enum numeric value on the wire for useGeneralizedCpSat to set.
Returns:: This builder for chaining.

getUseGeneralizedCpSat

public OptionalBoolean getUseGeneralizedCpSat()

 If true, use the CP-SAT solver to find a solution on generalized routing
 model. If use_cp is also true, the CP-SAT solver will be run after the CP
 solver if there is time remaining and will use the CP solution as a hint
 for the CP-SAT search.

.operations_research.OptionalBoolean use_generalized_cp_sat = 47;

Specified by:: getUseGeneralizedCpSat in interface RoutingSearchParametersOrBuilder
Returns:: The useGeneralizedCpSat.

setUseGeneralizedCpSat

public RoutingSearchParameters.Builder setUseGeneralizedCpSat(OptionalBoolean value)

 If true, use the CP-SAT solver to find a solution on generalized routing
 model. If use_cp is also true, the CP-SAT solver will be run after the CP
 solver if there is time remaining and will use the CP solution as a hint
 for the CP-SAT search.

.operations_research.OptionalBoolean use_generalized_cp_sat = 47;

Parameters:: value - The useGeneralizedCpSat to set.
Returns:: This builder for chaining.

clearUseGeneralizedCpSat

public RoutingSearchParameters.Builder clearUseGeneralizedCpSat()

 If true, use the CP-SAT solver to find a solution on generalized routing
 model. If use_cp is also true, the CP-SAT solver will be run after the CP
 solver if there is time remaining and will use the CP solution as a hint
 for the CP-SAT search.

.operations_research.OptionalBoolean use_generalized_cp_sat = 47;

Returns:: This builder for chaining.

hasSatParameters
```
public boolean hasSatParameters()
```
```
 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.
 
```
.operations_research.sat.SatParameters sat_parameters = 48;
Specified by:

hasSatParameters in interface RoutingSearchParametersOrBuilder

Returns:

Whether the satParameters field is set.

getSatParameters
```
public SatParameters getSatParameters()
```
```
 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.
 
```
.operations_research.sat.SatParameters sat_parameters = 48;
Specified by:

getSatParameters in interface RoutingSearchParametersOrBuilder

Returns:

The satParameters.

setSatParameters

public RoutingSearchParameters.Builder setSatParameters(SatParameters value)

 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.

.operations_research.sat.SatParameters sat_parameters = 48;

setSatParameters

public RoutingSearchParameters.Builder setSatParameters(SatParameters.Builder builderForValue)

 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.

.operations_research.sat.SatParameters sat_parameters = 48;

mergeSatParameters

public RoutingSearchParameters.Builder mergeSatParameters(SatParameters value)

 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.

.operations_research.sat.SatParameters sat_parameters = 48;

clearSatParameters

public RoutingSearchParameters.Builder clearSatParameters()

 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.

.operations_research.sat.SatParameters sat_parameters = 48;

getSatParametersBuilder

public SatParameters.Builder getSatParametersBuilder()

 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.

.operations_research.sat.SatParameters sat_parameters = 48;

getSatParametersOrBuilder

public SatParametersOrBuilder getSatParametersOrBuilder()

 If use_cp_sat or use_generalized_cp_sat is true, contains the SAT algorithm
 parameters which will be used.

.operations_research.sat.SatParameters sat_parameters = 48;

Specified by:: getSatParametersOrBuilder in interface RoutingSearchParametersOrBuilder

getReportIntermediateCpSatSolutions
```
public boolean getReportIntermediateCpSatSolutions()
```
```
 If use_cp_sat or use_generalized_cp_sat is true, will report intermediate
 solutions found by CP-SAT to solution listeners.
 
```
bool report_intermediate_cp_sat_solutions = 56;
Specified by:

getReportIntermediateCpSatSolutions in interface RoutingSearchParametersOrBuilder

Returns:

The reportIntermediateCpSatSolutions.

setReportIntermediateCpSatSolutions

public RoutingSearchParameters.Builder setReportIntermediateCpSatSolutions(boolean value)

 If use_cp_sat or use_generalized_cp_sat is true, will report intermediate
 solutions found by CP-SAT to solution listeners.

bool report_intermediate_cp_sat_solutions = 56;

Parameters:: value - The reportIntermediateCpSatSolutions to set.
Returns:: This builder for chaining.

clearReportIntermediateCpSatSolutions

public RoutingSearchParameters.Builder clearReportIntermediateCpSatSolutions()

 If use_cp_sat or use_generalized_cp_sat is true, will report intermediate
 solutions found by CP-SAT to solution listeners.

bool report_intermediate_cp_sat_solutions = 56;

Returns:: This builder for chaining.

getFallbackToCpSatSizeThreshold
```
public int getFallbackToCpSatSizeThreshold()
```
```
 If model.Size() is less than the threshold and that no solution has been
 found, attempt a pass with CP-SAT.
 
```
int32 fallback_to_cp_sat_size_threshold = 52;
Specified by:

getFallbackToCpSatSizeThreshold in interface RoutingSearchParametersOrBuilder

Returns:

The fallbackToCpSatSizeThreshold.

setFallbackToCpSatSizeThreshold

public RoutingSearchParameters.Builder setFallbackToCpSatSizeThreshold(int value)

 If model.Size() is less than the threshold and that no solution has been
 found, attempt a pass with CP-SAT.

int32 fallback_to_cp_sat_size_threshold = 52;

Parameters:: value - The fallbackToCpSatSizeThreshold to set.
Returns:: This builder for chaining.

clearFallbackToCpSatSizeThreshold

public RoutingSearchParameters.Builder clearFallbackToCpSatSizeThreshold()

 If model.Size() is less than the threshold and that no solution has been
 found, attempt a pass with CP-SAT.

int32 fallback_to_cp_sat_size_threshold = 52;

Returns:: This builder for chaining.

getContinuousSchedulingSolverValue
```
public int getContinuousSchedulingSolverValue()
```
.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;

Specified by:

getContinuousSchedulingSolverValue in interface RoutingSearchParametersOrBuilder

Returns:

The enum numeric value on the wire for continuousSchedulingSolver.

setContinuousSchedulingSolverValue
```
public RoutingSearchParameters.Builder setContinuousSchedulingSolverValue(int value)
```
.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;

Parameters:

value - The enum numeric value on the wire for continuousSchedulingSolver to set.

Returns:

This builder for chaining.

getContinuousSchedulingSolver
```
public RoutingSearchParameters.SchedulingSolver getContinuousSchedulingSolver()
```
.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;

Specified by:

getContinuousSchedulingSolver in interface RoutingSearchParametersOrBuilder

Returns:

The continuousSchedulingSolver.

setContinuousSchedulingSolver
```
public RoutingSearchParameters.Builder setContinuousSchedulingSolver(RoutingSearchParameters.SchedulingSolver value)
```
.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;

Parameters:

value - The continuousSchedulingSolver to set.

Returns:

This builder for chaining.

clearContinuousSchedulingSolver
```
public RoutingSearchParameters.Builder clearContinuousSchedulingSolver()
```
.operations_research.RoutingSearchParameters.SchedulingSolver continuous_scheduling_solver = 33;

Returns:

This builder for chaining.

getMixedIntegerSchedulingSolverValue
```
public int getMixedIntegerSchedulingSolverValue()
```
.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;

Specified by:

getMixedIntegerSchedulingSolverValue in interface RoutingSearchParametersOrBuilder

Returns:

The enum numeric value on the wire for mixedIntegerSchedulingSolver.

setMixedIntegerSchedulingSolverValue
```
public RoutingSearchParameters.Builder setMixedIntegerSchedulingSolverValue(int value)
```
.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;

Parameters:

value - The enum numeric value on the wire for mixedIntegerSchedulingSolver to set.

Returns:

This builder for chaining.

getMixedIntegerSchedulingSolver
```
public RoutingSearchParameters.SchedulingSolver getMixedIntegerSchedulingSolver()
```
.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;

Specified by:

getMixedIntegerSchedulingSolver in interface RoutingSearchParametersOrBuilder

Returns:

The mixedIntegerSchedulingSolver.

setMixedIntegerSchedulingSolver
```
public RoutingSearchParameters.Builder setMixedIntegerSchedulingSolver(RoutingSearchParameters.SchedulingSolver value)
```
.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;

Parameters:

value - The mixedIntegerSchedulingSolver to set.

Returns:

This builder for chaining.

clearMixedIntegerSchedulingSolver
```
public RoutingSearchParameters.Builder clearMixedIntegerSchedulingSolver()
```
.operations_research.RoutingSearchParameters.SchedulingSolver mixed_integer_scheduling_solver = 34;

Returns:

This builder for chaining.

hasDisableSchedulingBewareThisMayDegradePerformance
```
public boolean hasDisableSchedulingBewareThisMayDegradePerformance()
```
```
 Setting this to true completely disables the LP and MIP scheduling in the
 solver. This overrides the 2 SchedulingSolver options above.
 
```
optional bool disable_scheduling_beware_this_may_degrade_performance = 50;
Specified by:

hasDisableSchedulingBewareThisMayDegradePerformance in interface RoutingSearchParametersOrBuilder

Returns:

Whether the disableSchedulingBewareThisMayDegradePerformance field is set.

getDisableSchedulingBewareThisMayDegradePerformance
```
public boolean getDisableSchedulingBewareThisMayDegradePerformance()
```
```
 Setting this to true completely disables the LP and MIP scheduling in the
 solver. This overrides the 2 SchedulingSolver options above.
 
```
optional bool disable_scheduling_beware_this_may_degrade_performance = 50;
Specified by:

getDisableSchedulingBewareThisMayDegradePerformance in interface RoutingSearchParametersOrBuilder

Returns:

The disableSchedulingBewareThisMayDegradePerformance.

setDisableSchedulingBewareThisMayDegradePerformance

public RoutingSearchParameters.Builder setDisableSchedulingBewareThisMayDegradePerformance(boolean value)

 Setting this to true completely disables the LP and MIP scheduling in the
 solver. This overrides the 2 SchedulingSolver options above.

optional bool disable_scheduling_beware_this_may_degrade_performance = 50;

Parameters:: value - The disableSchedulingBewareThisMayDegradePerformance to set.
Returns:: This builder for chaining.

clearDisableSchedulingBewareThisMayDegradePerformance

public RoutingSearchParameters.Builder clearDisableSchedulingBewareThisMayDegradePerformance()

 Setting this to true completely disables the LP and MIP scheduling in the
 solver. This overrides the 2 SchedulingSolver options above.

optional bool disable_scheduling_beware_this_may_degrade_performance = 50;

Returns:: This builder for chaining.

getOptimizationStep

public double getOptimizationStep()

 Minimum step by which the solution must be improved in local search. 0
 means "unspecified". If this value is fractional, it will get rounded to
 the nearest integer.

double optimization_step = 7;

Specified by:: getOptimizationStep in interface RoutingSearchParametersOrBuilder
Returns:: The optimizationStep.

setOptimizationStep

public RoutingSearchParameters.Builder setOptimizationStep(double value)

 Minimum step by which the solution must be improved in local search. 0
 means "unspecified". If this value is fractional, it will get rounded to
 the nearest integer.

double optimization_step = 7;

Parameters:: value - The optimizationStep to set.
Returns:: This builder for chaining.

clearOptimizationStep

public RoutingSearchParameters.Builder clearOptimizationStep()

 Minimum step by which the solution must be improved in local search. 0
 means "unspecified". If this value is fractional, it will get rounded to
 the nearest integer.

double optimization_step = 7;

Returns:: This builder for chaining.

getNumberOfSolutionsToCollect
```
public int getNumberOfSolutionsToCollect()
```
```
 Number of solutions to collect during the search. Corresponds to the best
 solutions found during the search. 0 means "unspecified".
 
```
int32 number_of_solutions_to_collect = 17;
Specified by:

getNumberOfSolutionsToCollect in interface RoutingSearchParametersOrBuilder

Returns:

The numberOfSolutionsToCollect.

setNumberOfSolutionsToCollect

public RoutingSearchParameters.Builder setNumberOfSolutionsToCollect(int value)

 Number of solutions to collect during the search. Corresponds to the best
 solutions found during the search. 0 means "unspecified".

int32 number_of_solutions_to_collect = 17;

Parameters:: value - The numberOfSolutionsToCollect to set.
Returns:: This builder for chaining.

clearNumberOfSolutionsToCollect

public RoutingSearchParameters.Builder clearNumberOfSolutionsToCollect()

 Number of solutions to collect during the search. Corresponds to the best
 solutions found during the search. 0 means "unspecified".

int32 number_of_solutions_to_collect = 17;

Returns:: This builder for chaining.

getSolutionLimit

public long getSolutionLimit()

 -- Search limits --
 Limit to the number of solutions generated during the search. 0 means
 "unspecified".

int64 solution_limit = 8;

Specified by:: getSolutionLimit in interface RoutingSearchParametersOrBuilder
Returns:: The solutionLimit.

setSolutionLimit

public RoutingSearchParameters.Builder setSolutionLimit(long value)

 -- Search limits --
 Limit to the number of solutions generated during the search. 0 means
 "unspecified".

int64 solution_limit = 8;

Parameters:: value - The solutionLimit to set.
Returns:: This builder for chaining.

clearSolutionLimit

public RoutingSearchParameters.Builder clearSolutionLimit()

 -- Search limits --
 Limit to the number of solutions generated during the search. 0 means
 "unspecified".

int64 solution_limit = 8;

Returns:: This builder for chaining.

hasTimeLimit
```
public boolean hasTimeLimit()
```
```
 Limit to the time spent in the search.
 
```
.google.protobuf.Duration time_limit = 9;
Specified by:

hasTimeLimit in interface RoutingSearchParametersOrBuilder

Returns:

Whether the timeLimit field is set.

getTimeLimit
```
public com.google.protobuf.Duration getTimeLimit()
```
```
 Limit to the time spent in the search.
 
```
.google.protobuf.Duration time_limit = 9;
Specified by:

getTimeLimit in interface RoutingSearchParametersOrBuilder

Returns:

The timeLimit.

setTimeLimit

public RoutingSearchParameters.Builder setTimeLimit(com.google.protobuf.Duration value)

 Limit to the time spent in the search.

.google.protobuf.Duration time_limit = 9;

setTimeLimit

public RoutingSearchParameters.Builder setTimeLimit(com.google.protobuf.Duration.Builder builderForValue)

 Limit to the time spent in the search.

.google.protobuf.Duration time_limit = 9;

mergeTimeLimit

public RoutingSearchParameters.Builder mergeTimeLimit(com.google.protobuf.Duration value)

 Limit to the time spent in the search.

.google.protobuf.Duration time_limit = 9;

clearTimeLimit

public RoutingSearchParameters.Builder clearTimeLimit()

 Limit to the time spent in the search.

.google.protobuf.Duration time_limit = 9;

getTimeLimitBuilder

public com.google.protobuf.Duration.Builder getTimeLimitBuilder()

 Limit to the time spent in the search.

.google.protobuf.Duration time_limit = 9;

getTimeLimitOrBuilder
```
public com.google.protobuf.DurationOrBuilder getTimeLimitOrBuilder()
```
```
 Limit to the time spent in the search.
 
```
.google.protobuf.Duration time_limit = 9;
Specified by:

getTimeLimitOrBuilder in interface RoutingSearchParametersOrBuilder

hasLnsTimeLimit
```
public boolean hasLnsTimeLimit()
```
```
 Limit to the time spent in the completion search for each local search
 neighbor.
 
```
.google.protobuf.Duration lns_time_limit = 10;
Specified by:

hasLnsTimeLimit in interface RoutingSearchParametersOrBuilder

Returns:

Whether the lnsTimeLimit field is set.

getLnsTimeLimit
```
public com.google.protobuf.Duration getLnsTimeLimit()
```
```
 Limit to the time spent in the completion search for each local search
 neighbor.
 
```
.google.protobuf.Duration lns_time_limit = 10;
Specified by:

getLnsTimeLimit in interface RoutingSearchParametersOrBuilder

Returns:

The lnsTimeLimit.