Metaheuristics Python Packages

pyswarms

A research toolkit for particle swarm optimization in Python

mealpy

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

moptipy

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

moptipyapps

Applications of Metaheuristic Optimization in Python

evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

greyjack

GreyJack Solver is a "jack of all trades" constraint metaheuristic solver for Python, built on the robust foundations of Rust and Polars

evolopy

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

tsp-framework

Framework de algoritmos para resolver el Problema del Vendedor Viajero

metaheuristic-designer

Framework for designing, testing and evaluating metaheuristic optimization algorithms.

optapy

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

anmetal

Another Numeric and Metaheuristics Library with a bunch of populational metaheuristics, gold standard functions etc

digneapy

Python version of the DIGNEA code for instance generation

antco

Ant-based optimisation framework implemented in Cython/Python for graphs exploration.

customhys

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics.

tide-feature-selection

Feature selection for real ML pipelines: filters, wrappers, and metaheuristics with cross-validation, reproducibility, and bundled benchmarks.

pymetagen-datalabupo

MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning

metaperceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

pymhlib

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

graforvfl

GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network

neuroptimiser

A modular and asynchronous framework for neuromorphic optimisation using spike-driven metaheuristics and heuristic-controlled spiking dynamics.

pygaopt

Python Genetic Algorithms

optimization-benchmarks

A comprehensive collection of 55+ mathematical benchmark functions for testing optimization algorithms with visualization and benchmarking utilities

pyrade

PyRADE is a production-ready optimization library implementing Differential Evolution (DE), a powerful evolutionary algorithm for global optimization. Unlike traditional implementations that sacrifice code quality for performance, PyRADE proves you can have both through intelligent design.

optframe

Python bindings for OptFrame Functional Core