NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

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

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

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Evolutionary & genetic algorithms for Julia

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

High-performance metaheuristics for optimization coded purely in Julia.

[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pattern search, and random search, etc.). [Citation: https://jmlr.org/papers/v25/23-0386.html (***CCF-A***)]

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.

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

Yet another black-box optimization library for Python

Python library for stochastic numerical optimization

Heuristic Optimization for Python

Examples on numerical optimization

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

A simple, bare bones, implementation of differential evolution optimization.

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Density evolution for LDPC codes construction under AWGN-channel: reciprocal-channel approximation (RCA), Gaussian Evolution, Covariance Evolution

Vita - Genetic Programming Framework