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

jMetal: a framework for multi-objective optimization with metaheuristics

A research toolkit for particle swarm optimization in Python

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

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

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

A framework for single/multi-objective optimization with metaheuristics

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

🎯 A comprehensive gradient-free optimization framework written in Python

Artificial Bee Colony Algorithm in Python.

A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

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

ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]

Different meta-heuristic optimization techniques for feature selection