firefly-algorithm

A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic oscillators with non-local behavior and chimera states in systems of quantum particles. Coding Used is based on mathematical modelling of transport in q…

Fake news detection comparing a baseline SVM against an SVM trained on Binary Firefly Algorithm selected TF-IDF features. 94.83% accuracy on 28.1% fewer features.

Streamlit app predicting stroke risk with an SVM whose hyperparameters are tuned by the Firefly Algorithm instead of grid search.

Machine learning-based Fake News Detection System using Firefly Algorithm feature optimization, MSVM classification, and Django.

A collection of programming assignments from CSCI‑633: Biologically‑Inspired Intelligent Systems at the Rochester Institute of Technology.

End to end machine learning pipeline for intrusion detection using CIC IoV dataset. Includes preprocessing feature selection with PSO and Firefly multiple models evaluation and explainability using SHAP and LIME with clear visualizations and comparisons

Implementation of Firefly Algorithm in Python

Comparative study of metaheuristic optimization algorithms for PI controller tuning under realistic constraints, using exhaustive search as a reference baseline.

Firefly Algorithm on Minimizing Functions (Ackley, Rosenbrock etc.)

Source code and lecture materials for the Metaheuristic Optimization course, including Python implementations, presentations, and example exercises.

Video Here: https://www.youtube.com/watch?v=yeqVSh1_8Hk Here are the C Codes that implement an experimental Firefly synchronization metaheuristic on ATMEL chips (ATtiny85 and ATmega) for use in demonstrating, on hardware, the quantum-like, neuromorphic behavior that emerges in systems of optically coupled oscillators. The PCB board used for the …

OPTIM2MAML is a dual-optimized few-shot learning framework for ischemic stroke lesion segmentation in brain MRI. It combines MAML with a U-Net backbone, uses unsupervised clustering for better task generation, and applies firefly optimization for post-segmentation refinement.

Firefly algorithm

This repository contains all materials related to my Master's Thesis titled "Generative Artificial Intelligence and Optimisation Framework for Sustainable Concrete Mixture Design", including the thesis report, presentations, research papers, dataset, and associated code files used for experiments and analysis.

This project optimizes task allocation in Fog and Cloud Computing environments using multi-objective optimization techniques. It computes and analyzes Pareto fronts using MOCS and MOFA algorithms. The project includes Jupyter notebooks for data preparation, Pareto front calculation, and solution analysis.

LibOptimization is numerical optimization algorithm library for .NET Framework. / .NET用の数値計算、最適化ライブラリ

Firefly Fuzzy Regression Algorithm

Optimization Problems Toolbox

Firefly Algorithm (FA) Image Segmentation Using Clustering

Nature-Inspired DMU Selection and Evaluation in Data Envelopment Analysis