A research toolkit for particle swarm optimization in Python

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

OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

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

Neural Architecture Search Powered by Swarm Intelligence 🐜

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

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.

Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊

Implementation of Firefly Algorithm in Python

This is a Boids Simulation, written in Python with Pygame.

The goal of this repository is to introduce a new, customizable, scalable, and fully opensource mobile robot platform, called SMARTmBOT. This repository provides a guide, and all design files and source codes so that you can build your own SMARTmBOT. SMARTmBOT can be useful for studying the basics of robotics, especially mobile robotics. It can …

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Solving Travelling Salesman Problem using Ant Colony Optimization

Ant colony simulator

Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (1st Edition: from 2023 to 2027).

multi traveling salesman problem with ant colony optimization

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation …