Application of an optimized particle swarm optimization algorithm to traveling salesman problem

Nan Zhang; Yufeng Li; Hongjiang Wang; Rongxu Hou

doi:10.1117/12.2675426

25 May 2023 Application of an optimized particle swarm optimization algorithm to traveling salesman problem

Nan Zhang, Yufeng Li, Hongjiang Wang, Rongxu Hou

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126365I (2023) https://doi.org/10.1117/12.2675426
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

This paper redefines the speed in particle swarm optimization, It is used to solve the traveling salesman problem without changing the structure of the original particle swarm optimization algorithm. At the same time, a new particle swarm optimization (PSO) algorithm is designed by using the sequence preserving operation of genetic algorithm. The test of the algorithm with three classic examples in TSPLIB shows that the algorithm in this paper has better convergence and algorithm stability than the known intelligent optimization algorithm.

Citation Download Citation

Nan Zhang, Yufeng Li, Hongjiang Wang, and Rongxu Hou "Application of an optimized particle swarm optimization algorithm to traveling salesman problem", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126365I (25 May 2023); https://doi.org/10.1117/12.2675426

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