Particle Swarm Optimization Python Packages

fst-pso

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

pyswarms

A research toolkit for particle swarm optimization in Python

gradient-free-optimizers

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

genoxide

Optimization for Rust and Python: genetic algorithms, CMA-ES, differential evolution, multi-objective, L-BFGS-B, Adam, MMA and more. The same results on every platform.

mealpy

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

pypop7

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. [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

krna

KRNA / SKROA: gradient-free biphasic swarm optimization in Python — Lévy-flight exploration + gradient exploitation, multi-objective, scikit-learn hyperparameter tuning. pip install krna

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)

starpso

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

adaswarm

SwarmLoss: a PyTorch loss that trains through non-convex and non-differentiable objectives by fusing particle-swarm optimisation with gradient-based optimisers like Adam.

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.

intelelm

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

saealib

Python package for Surrogate-Assisted Evolutionary Algorithms (SAEAs).

graph-stitcher

Graph algorithms to merge two graphs based on stitching.

sko

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

metacluster

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

psopy

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

graforvfl

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

metaperceptron

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

evorbf

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

ki

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

pyapso

An implementation of the Adaptive Particle Swarm Optimization (APSO) algorithm for solving continuous, multi-objective, and multi-dimensional optimization problems.