There are 2 repositories under differential-evolution topic.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
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.
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/]
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.
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
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 .
Density evolution for LDPC codes construction under AWGN-channel: reciprocal-channel approximation (RCA), Gaussian Evolution, Covariance Evolution
[OLD] Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms
Key Frame Extraction using Differential Evolution
Code of the paper:A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]
Nature Inspired Optimization Algorithms
A collection of black-box optimizers with a focus on evolutionary algorithms
An implementation of various metaheuristics adapted to train neural networks
A fast and efficient Matlab code implementing the Differential Evolution algorithm.
Representing and updating object identities in semantic SLAM
A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.
Semi-random funky stuff, mainly for my PhD experiments and articles. Contains calculations and algorithm implementations for various applied mathematics and astrophysics articles I worked on.
Hybrid differential evolution algorithm (HDE) to solve the Flexible Job Shop Scheduling Problem
Implementation of data mining methods that use evolutionary algorithms
In this section, I share the Meta-Heuristic algorithm codes that I wrote myself