PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

Implementation of popular AI algorithms

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.

Python 3.x - Numpy - Matplotlib - Pandas - MySQL - etc.

Benchmarking non-traditional optimisation algorithms using the 0-1 Knapsack problem.

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Feature Selection Library for Data Sciences in Python

Optimized Codes to run Matched Filtering on GW Data using Particle Swarm Optimization

This repositories include the IEEE Congress on Evolutionary Computation Benchmark functions suite (IEEE CEC 2014 2017 2020 2022). You can use the untitled.m to form a figure of the benchmark function.

Python library for evolutionary and swarm intelligence algorithms.

Hyperparameter selection on machine learning models using Particle Swarm Optimization

Isolated-Speciation-based Particle Swarm Optimization

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

Particle Swarm Optimizer with fuzzy parameter control

Path Planning with Metaheuristic Algorithms in C++

this project visualizes the optimization process of benchmark functions using two Evolutionary Algorithms (EAs): Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). It aims to provide an intuitive understanding of the algorithms' dynamics and performance in function optimization tasks

EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms

A particle swarm optimization-based approach for non-invasive glucose measurement

Swarm intelligence optimizer