Popular GitHub Repositories for Metaheuristics

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

Multilevel thresholding segmentation method

Visit: https://aliasgharheidari.com/HGS.html. HGS optimizer is a population-based method with stochastic switching elements that enrich its main exploratory and exploitative behaviors and flexibility of HGS in dealing with challenging problem landscapes. The algorithm has been compared to LSHADE, SPS_L_SHADE_EIG, LSHADE_cnEpSi, SHADE, SADE, MPEDE, and JDE methods.

Bio-Inspired Fossil Image Segmentation for Paleontology

Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization

Ant Colony Optimization (ACO) in MATLAB

A Brief Introduction to Artificial Neural Networks: The or and xor logic gates and training an ANN to play Flappy Bird.

Implementation of "Intelligent Intrusion Detection in Computer Networks using Swarm Intelligence," International Journal of Computer Applications 179(16):1-9, January 2018.

A TensorFlow-compatible library with metaheuristic optimizers :mortar_board:

This project uses ant colony optimization to optimize a path between a source and a destination cell based on distance and steepness.

Comparison of Crossover operators of Genetic Algorithms in combinatorial optimization problems

An open-source Python package implementing the Artificial Bee Colony (ABC) algorithm, a population-based optimization method inspired by the foraging behavior of honeybee swarms and designed to solve complex optimization problems efficiently.

A flexible Particle Swarm Optimization (PSO) framework utilizing multiple inheritance in Python

Visualization of swarm intelligence (mouse tracking)

Metaheuristic- and RL-powered production scheduling & optimization toolkit in Python