Popular GitHub Repositories for Metaheuristics

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

Multilevel thresholding segmentation method

Visit: https://aliasgharheidari.com/HGS.html. HGS optimizer is a population-based method with stochastic switching elements that enrich its main exploratory and exploitative behaviors and flexibility of HGS in dealing with challenging problem landscapes. The algorithm has been compared to LSHADE, SPS_L_SHADE_EIG, LSHADE_cnEpSi, SHADE, SADE, MPEDE, and JDE methods.

Ant Colony Optimization (ACO) in MATLAB

A Brief Introduction to Artificial Neural Networks: The or and xor logic gates and training an ANN to play Flappy Bird.

Implementation of "Intelligent Intrusion Detection in Computer Networks using Swarm Intelligence," International Journal of Computer Applications 179(16):1-9, January 2018.

A TensorFlow-compatible library with metaheuristic optimizers :mortar_board:

An open-source Python package implementing the Artificial Bee Colony (ABC) algorithm, a population-based optimization method inspired by the foraging behavior of honeybee swarms and designed to solve complex optimization problems efficiently.

A flexible Particle Swarm Optimization (PSO) framework utilizing multiple inheritance in Python

Visualization of swarm intelligence (mouse tracking)