An interactive simulation and analysis software for solving TSP using Ant Colony Optimization algorithms
Makaleler > Tam Makale · 2008
Yazarlar: Aybars UĞUR, Dogan AYDIN
Advances in Engineering Software, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2008, cilt 40, ss 341-349
DOI: 10.1016/j.advengsoft.2008.05.004
Özet
Traveling salesman problem (TSP) is one of the extensively studied combinatorial optimization problems and tries to find the shortest route for salesperson which visits each given city precisely once. Ant colony optimization (ACO) algorithms have been used to solve many optimization problems in various fields of engineering. In this paper, a web-based simulation and analysis software (TSPAntSim) is developed for solving TSP using ACO algorithms with local search heuristics. Algorithms are tested on benchmark problems from TSPLIB and test results are presented. Importance of TSPAntSim providing also interactive visualization with real-time analysis support for researchers studying on optimization and people who have problems in form of TSP is discussed. (C) 2008 Elsevier Ltd. All rights reserved.