A High-Performance C++ Toolkit for solving classic TSP instances with B&B.
Comparative metaheuristics for the Sequential Ordering Problem (SOP): Genetic Algorithm vs Particle Swarm Optimization on TSPLIB-SOP.
Genetic Algorithm solver for the Traveling Salesman Problem (TSP) with configurable operators — tournament selection, order crossover, swap/inverse mutation. Includes greedy baseline and TSPLIB benchmark datasets.
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
An implementation of the Growth Optimizer (GO) algorithm to solve symmetric TSP instances.
A parser to read TSPLIB format files and convert to full matrix structure.
A multi-algorithm solver for Travelling Salesman Problem (TSP) focused on automating testing and comparing performance of various algorithms.
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
High-performance Evolutionary TSP Solver with Gamified Streamlit UI. Features Hybrid GA (Genetic Algorithm) + 3-Opt Local Search, TSPLIB support (EUC_2D/ATT), and real-time visualization.
Implementation of Ant Colony Optimization (ACO) in Erlang language. Project realized for Computational Intelligence class.
Ant Colony Optimization in Julia
A C++ implementation of the Christofides algorithm for instances in TSPLIB format
Small lib which generate binary data for tsc printer (tspl tspl2)
This code is to solve traveling salesman problem by using simulated annealing meta heuristic.
Library for working with TSPLIB files.
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