There are 10 repositories under metaheuristics topic.
AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
A research toolkit for particle swarm optimization in Python
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
šÆ A comprehensive gradient-free optimization framework written in Python
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.
Derivative-Free Optimization Method for Global Optimization (C++)
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.
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)
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
PyPop7: A Pure-PYthon library of POPulation-based OPtimization for continuous black-box problems, particularly large-scale variants. See pypop.rtfd.io for API documents.
Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.
Amazing Collection Vehicle Routing Problem
ecr: Evolutionary Computation in R (version 2)
Different meta-heuristic optimization techniques for feature selection
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
C++ metaheuristics modeler/solver for general integer optimization problems.
Evolutionary algorithms library for the web š§¬
A metaheuristic optimization framework
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
MHLib.jl - A Toolbox for Metaheuristics and Hybrid Optimization Methods in Julia
An implementation of various metaheuristics adapted to train neural networks