differential-evolution

[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, etc.). [https://jmlr.org/papers/v25/23-0386.html]

evolutionary-algorithms global-optimization differential-evolution genetic-algorithms black-box-optimization numerical-optimization nonlinear-optimization random-search optimization-algorithms particle-swarm-optimization evolution-strategies continuous-optimization large-scale-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization direct-search population-based-optimization estimation-of-distribution-algorithms consensus-based-optimization

UpdatedJul 12, 2025
Python

kthohr /mcmc

Star180

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

cpp automatic-differentiation eigen cpp11 armadillo differential-evolution mcmc hmc hamiltonian-monte-carlo markov-chain-monte-carlo de metropolis-hastings eigen3 mala langevin-diffusion riemannian-manifold

UpdatedFeb 8, 2024
C++

JingweiToo /Wrapper-Feature-Selection-Toolbox

Star179

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.

machine-learning data-mining genetic-algorithm feature-selection ant-colony-optimization differential-evolution cuckoo-search particle-swarm-optimization firefly-algorithm metaheuristics salp-swarm-optimization harris-hawks-optimization bat-algorithm ant-lion-optimizer grey-wolf-optimizer moth-flame-optimization flower-pollination-algorithm whale-optimization-algorithm multi-verse-optimizer

UpdatedMar 4, 2021
MATLAB

avaneev /biteopt

Star153

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

optimization genetic-algorithm hyperparameter-optimization evolutionary-algorithms global-optimization constraint-programming meta-heuristic optimization-methods differential-evolution optimization-tools black-box-optimization optimization-algorithms integer-programming global-optimization-algorithms stochastic-optimizers metaheuristics discrete-optimization mixed-integer-programming mathematical-programming mathematical-optimization

UpdatedFeb 5, 2025
C++

pablormier /yabox

Star138

Yet another black-box optimization library for Python

python black-box data-science algorithms optimization minimization parallel python3 evolutionary-algorithms differential-evolution black-box-optimization stochastic-algorithms

UpdatedDec 6, 2022
Jupyter Notebook

EMI-Group /metade

Star109

MetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. Supporting both JAX and PyTorch, it dynamically adapts mutation and crossover strategies for efficient large-scale black-box optimization.

neuroevolution pytorch evolutionary-algorithms gpu-computing differential-evolution jax brax meta-evolution