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The performance research on solvingTSPby four typicalAI algorithms

Yue Wu, Zheng-qiang Jiang

Travelling Salesmen Problem(VRP) has an important theoretical value and practical significance inmathematical and logistics field. ItÂÂ’s a typical NPHard problem, and artificial intelligent (AI) Algorithm has been already proven to be a very effect way in solving this problem. This paper carried out the performance research on solving TSP by four typicalAI algorithms after in-depth analyzed the TSP and these four algorithms (genetic algorithm, particle swarmoptimization algorithm, simulated annealing algorithmand ant colony algorithm). This paper verified the TSP solving performance by China travelling salesmen problem experiments and MATLAB programming. The results showed that: considering the average iteration time, SA < PSO< ACA