Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Neural Architecture Search Powered by Swarm Intelligence 🐜

A strongly-typed genetic programming framework for Python

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

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) and Artificial Bee Colony (ABC)

A Java Framework for Ant Colony Optimization algorithms.

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

Travel Time Optimization via Ant Colony and Genetic Evolution

Ant colony system (ACS) based algorithm for the dynamic vehicle routing problem with time windows (DVRPTW). For more details, see this paper "Necula, R., Breaban, M., & Raschip, M.: Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system. CEC, (2017)" (https://ieeexplore.ieee.org/document/7969606)

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

Java Ant Colony Optimization Framework

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

A python implementation of a ant colony optimization based solution to Vehicle Routing Problem with Time Windows.

A python Framework for Simple Ant Colony Optimization Algorithms

Solving Travelling Salesman Problem using Ant Colony Optimization

An ant algorithm simulator for experimental and teaching purposes

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO

Ant Colony Optimization Simulator developed in HTML

Solution for Travelling Salesman Problem utilising Ant Colony Simulation

Capacitated Vehicle Routing Problem solved with Ant Colony Optimization

🐜 Solve TSP problem using ANT colony algorithm

Project on Ant Colony Optimization applied to the Flow Shop Problem

Optimization algorithms written in Python and MATLAB

Solving the Flow-Shop Schedulling problem with Ant Colony Optimization algorithms.

A List of all the Artificial Intelligence Assignment

This repository contains source code for the four investigated ACO algoritms for the bi-objective Multiple Traveling Salesman Problem. For more details, see this paper "Necula, R., Breaban, M., Raschip, M.: Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems. ICTAI, (2015)" (https://ieeexplore.ieee.org/document/7372224).

Eclipse Project for the Guzel Kalayci et. al. Article

A Library in Python dealing with Ant Colony Optimization Algorithm to Solve Constrained Problems

Ant Colony Optimization for the Traveling Salesman Problem

🎓 Simple Ant Colony Optimization for Satellite Control Resource Scheduling Problem (based on https://doi.org/10.1007/s10489-018-1144-z): An implementation for my Satellite Networks course.