Uses of Class
com.google.ortools.constraintsolver.ObjectiveMonitor

Packages that use ObjectiveMonitor

Package	Description
com.google.ortools.constraintsolver

Uses of ObjectiveMonitor in com.google.ortools.constraintsolver

Subclasses of ObjectiveMonitor in com.google.ortools.constraintsolver

Modifier and Type	Class and Description
class	OptimizeVar This class encapsulates an objective.

Methods in com.google.ortools.constraintsolver that return ObjectiveMonitor

Modifier and Type	Method and Description
ObjectiveMonitor	Solver.makeGenericTabuSearch(boolean maximize, IntVar v, long step, IntVar[] tabu_vars, long forbid_tenure) Creates a Tabu Search based on the vars |vars|. A solution is "tabu" if all the vars in |vars| keep their value.
ObjectiveMonitor	Solver.makeGuidedLocalSearch(boolean maximize, IntVar objective, java.util.function.LongBinaryOperator objective_function, long step, IntVar[] vars, double penalty_factor) Creates a Guided Local Search monitor. Description here: http://en.wikipedia.org/wiki/Guided_Local_Search
ObjectiveMonitor	Solver.makeGuidedLocalSearch(boolean maximize, IntVar objective, java.util.function.LongBinaryOperator objective_function, long step, IntVar[] vars, double penalty_factor, boolean reset_penalties_on_new_best_solution) Creates a Guided Local Search monitor. Description here: http://en.wikipedia.org/wiki/Guided_Local_Search
ObjectiveMonitor	Solver.makeGuidedLocalSearch(boolean maximize, IntVar objective, LongTernaryOperator objective_function, long step, IntVar[] vars, IntVar[] secondary_vars, double penalty_factor)
ObjectiveMonitor	Solver.makeGuidedLocalSearch(boolean maximize, IntVar objective, LongTernaryOperator objective_function, long step, IntVar[] vars, IntVar[] secondary_vars, double penalty_factor, boolean reset_penalties_on_new_best_solution)
ObjectiveMonitor	Solver.MakeLexicographicSimulatedAnnealing(SWIGTYPE_p_std__vectorT_bool_t maximize, IntVar[] vars, long[] steps, long[] initial_temperatures)
ObjectiveMonitor	Solver.MakeLexicographicTabuSearch(SWIGTYPE_p_std__vectorT_bool_t maximize, IntVar[] objectives, long[] steps, IntVar[] vars, long keep_tenure, long forbid_tenure, double tabu_factor)
ObjectiveMonitor	Solver.makeSimulatedAnnealing(boolean maximize, IntVar v, long step, long initial_temperature) Creates a Simulated Annealing monitor.
ObjectiveMonitor	Solver.makeTabuSearch(boolean maximize, IntVar objective, long step, IntVar[] vars, long keep_tenure, long forbid_tenure, double tabu_factor) MetaHeuristics which try to get the search out of local optima. Creates a Tabu Search monitor. In the context of local search the behavior is similar to MakeOptimize(), creating an objective in a given sense.

Methods in com.google.ortools.constraintsolver with parameters of type ObjectiveMonitor

Modifier and Type	Method and Description
protected static long	ObjectiveMonitor.getCPtr(ObjectiveMonitor obj)
static void	mainJNI.ObjectiveMonitor_accept(long jarg1, ObjectiveMonitor jarg1_, long jarg2, ModelVisitor jarg2_)
static boolean	mainJNI.ObjectiveMonitor_acceptDelta(long jarg1, ObjectiveMonitor jarg1_, long jarg2, Assignment jarg2_, long jarg3, Assignment jarg3_)
static boolean	mainJNI.ObjectiveMonitor_atSolution(long jarg1, ObjectiveMonitor jarg1_)
static long	mainJNI.ObjectiveMonitor_BestValue(long jarg1, ObjectiveMonitor jarg1_, int jarg2)
static void	mainJNI.ObjectiveMonitor_enterSearch(long jarg1, ObjectiveMonitor jarg1_)
static boolean	mainJNI.ObjectiveMonitor_Maximize(long jarg1, ObjectiveMonitor jarg1_, int jarg2)
static long	mainJNI.ObjectiveMonitor_MinimizationVar(long jarg1, ObjectiveMonitor jarg1_, int jarg2)
static long	mainJNI.ObjectiveMonitor_ObjectiveVar(long jarg1, ObjectiveMonitor jarg1_, int jarg2)
static int	mainJNI.ObjectiveMonitor_Size(long jarg1, ObjectiveMonitor jarg1_)
static long	mainJNI.ObjectiveMonitor_Step(long jarg1, ObjectiveMonitor jarg1_, int jarg2)
protected static long	ObjectiveMonitor.swigRelease(ObjectiveMonitor obj)