Optimization and Comparison of Travelling Salesman Problem Using Ant Colony and Genetic Algorithms

Inthisstudy, performance of ant colony and genetic algorithms that is one of artificial intelligence techniques were compared in order to solve traveling salesman problem that is one of route-planning problem. the best route over the map of turkey is aimed to find. performance of the sealgorithms in terms of route distance and route prediction time were investigated. a c#-based interface was designed for implementation of the application and monitoring of the experimental results. as a result of the application, it is observed that ant colony algorithm has more high performance than genetic algorithm in terms of both route distance and performance time.