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)

This repository contains path planning algorithms in C++ for a grid based search.

A C++ Ant Colony Optimization (ACO) algorithm for the traveling salesman problem.

🎨 Read, Inspect, Manipulate, and Save (ASE-only for save) Color Swatch Files

求解TSP问题的：蚁群算法、遗传算法、粒子群算法、模拟退火算法、禁忌搜索算法、动态规划算法、贪心算法

A color palette/gradient reader/writer for a growing set of file formats. Swift (macOS, iOS, tvOS, watchoOS, macCatalyst, Linux)

Import colors from macOS CLR, Photoshop ACO/ACT, Illustrator ASE, GIMP GPL, Sketch, Text file to Sketch color variables.

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO

Capacitated Vehicle Routing Problem solved with Ant Colony Optimization

A visual demo of Ant Colony Optimisation applied to TSP written in Javascript

A population based stochastic algorithm for solving the Traveling Salesman Problem.

Simple Python script to extract and generate Adobe Color Swatch (.aco) files

Vehicle Routing Problem with Time Windows solver using Ant Colony Optimization, Greedy Algorithm

Import and export aco, act and ase (Adobe Swatch Exchange) files in Aseprite.

A full-stack (R&D) Vehicle Routing Problem with Time Windows (VRPTW) comparison platform. Run and benchmark metaheuristic algorithms HGS, ACO, SA, GLS (v0.6.3) & ILS (v0.13+), visualize routes, tune parameters, and explore Solomon benchmark datasets—with an optional AI-assisted RAG Q&A and parameter tuning capabilities.

The implementation of the ant colony optimization algorithm. Allows to solve Travelling Salesman Problem , Shortest path problem, etc.

An implementation of the Ant Colony optimization algorithm (ACO) for the capacitated vehicle routing problem (CVRP) for bike sharing rebalancing

Based on MATLAB implementation of ant colony algorithm

🎨 Android library for importing / exporting colors as ACO & ASE files

Culebra is a versatile and extensible Python framework for solving complex optimization problems using metaheuristics.

ACO Feature Extraction

this is a multi-agent algorithm in task planning level based on ant colony algorithms.

Ant Colony Optimization for Traveling Salesman Problem written in plain C++, C++ with FastFlow and CUDA

Esta aplicação fornece uma interface web a fim de demonstrar o uso do Algoritmo de colonização de formigas Antsystem

Ant Colony Optimization for the Traveling Salesman Problem

Optimization algorithms written in Python and MATLAB

Python Implementation of Traveling Salesman Problem (TSP) Using Genetic Algorithms/Hybridized with more Heuristic Optimizations

Implementation of the ACO (Ants Colony Optimization) for the traveling salesman problem. JOGL used

No description provided.

Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.