Search Packages

pyswarms

A research toolkit for particle swarm optimization in Python

fst-pso

A settings-free global optimization method based on PSO and fuzzy logic

mealpy

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

gradient-free-optimizers

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

pypop7

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

mgsurve

Python package to optimize mosquito traps' positioning in field trials.

pylinkage

Complete pipeline to design, optimize and view 2D kinematic mechanisms in Python

sko

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

zoofs

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

metacluster

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

intelelm

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

psopy

A SciPy compatible super fast Python implementation for Particle Swarm Optimization.

starpso

StarPSO implements a variety of PSO algorithms that can be used on problems with different data types.

graph-stitcher

This tool is a little framework to determine possiblemerges between two graphs based on a set of requiredadditional relationships (aka as stitches / edges).

graforvfl

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

metaperceptron

MetaPerceptron: A Standardized Framework for Metaheuristic-Trained Multi-Layer Perceptron

ki

Hobbyist Library Combining Machine Learning with Heuristics, Tested Across Supervised and Reinforcement Domains

tsne-pso

t-Distributed Stochastic Neighbor Embedding with Particle Swarm Optimization (TSNE-PSO) is an enhanced version of t-SNE that uses Particle Swarm Optimization instead of gradient descent for the optimization step. This implementation is based on the research paper by Allaoui et al. (2025).

evorbf

EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks

vpso

Vectorized Particle Swarm Optimization

stochannpy

StochANNPy

nia

Nature Inspired Optimization Algorithms

swing-opt

Swarm intelligence optimization.