There are 26 repositories under swarm-intelligence topic.
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)
🐝 GPTSwarm: LLM agents as (Optimizable) Graphs
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
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 😊
Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
Implementation of Firefly Algorithm in Python
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 also be used to study advanced topics such as swarm robotics.
Solving Travelling Salesman Problem using Ant Colony Optimization
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).
Ant colony simulator
Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (from 2023 to 2027).
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 wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics in an extensive set of benchmarks to verify the efficiency. Moreover, four classical engineering structure problems are utilized to estimate the efficacy of the algorithm in optimizing engineering problems. The results demonstrate that the algorithm proposed benefits from competitive, often outstanding performance on different search landscapes. The source codes and info of SMA are publicly available at: http://www.alimirjalili.com/SMA.html
Swarm intelligence optimizer
Library of swarm-intelligence algorithms
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
This repository include implementation of particle swarm optimization (pso) algorithm in C++
A group of small robots capable of organizing themselves in any given structure using OpenCV and Clustering.
My simplest implementations of common ML algorithms
Mobile Robot Path Planning and Obstacle Avoidance Using PSO in Python
This is a repo containing my work in implementing common swarm robotics algorithms using the Webots simulator.
A research toolkit for Swarm Robotics.
This repository contains the open-sourced codes and hardware designs of the Swarm Robot (heroswarmv2) designed at the Heterogeneous Robotics Research Lab (HeRoLab) at the University of Georgia.
⚡ A simulation of finding the shortest charging routes for electric vehicle fleets using ant colony optimization.