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)

Library for working with TSPLIB files.

This code is to solve traveling salesman problem by using simulated annealing meta heuristic.

Small lib which generate binary data for tsc printer (tspl tspl2)

A C++ implementation of the Christofides algorithm for instances in TSPLIB format

Implementation of Ant Colony Optimization (ACO) in Erlang language. Project realized for Computational Intelligence class.

This project implements two nature-inspired optimization algorithms: Moth Flame Optimization (MFO) and Honey Badger Optimization (HBO). Both algorithms are designed to solve complex optimization problems by mimicking behaviors observed in nature. also it includes a path finding algorithm, A-star

Ant Colony Optimization in Julia

python module to parse TSPLIB files and obtain distance matrix

A parser to read TSPLIB format files and convert to full matrix structure.

Algorithms of integer linear programming applied to TSP and written report about them.

Qt Application to solve the TSP problem using TSPLIB instances and applied in Google Maps, through hybridization of GRASP and VNS metaheuristics

Some experiments with Nearest Neighbor Euclidean 2D tours using problems from TSPLIB

Few implementations of algorithms solving Travelling Salesman Problem