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.

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

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

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

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

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

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

Capacitated Vehicle Routing Problem solved with Ant Colony Optimization

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO

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

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

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

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

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

基于matlab实现蚁群算法

Optimization algorithms written in Python and MATLAB

Ant Colony Optimization for the Traveling Salesman Problem

ACO Feature Extraction

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