aco

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.

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

🎨 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

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

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.

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.

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

AntHocNet (Di Caro, Ducatelle & Gambardella), the hybrid ant-colony routing protocol for MANETs, as a paper-faithful reference: a simulator-agnostic C++ core, an ns-3 module, 20-seed benchmarks against AODV/OLSR/DSDV with 95% CIs, satellite/ISL scenarios, and its core compiled to WebAssembly for the learn-site game.

Based on MATLAB implementation of ant colony algorithm

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