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

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

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

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

Evolutionary & genetic algorithms for Julia

High-performance metaheuristics for optimization coded purely in 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.

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

Yet another black-box optimization library for Python

Derivative-Free Global Optimization Method (C++, Python binding)

Python library for stochastic numerical optimization

Examples on numerical optimization

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

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

[OLD] Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

Vita - Genetic Programming Framework

Key Frame Extraction using Differential Evolution

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