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A modified two-part wolf pack search algorithm for the multiple traveling salesmen problem

  • Yongbo Chen
  • , Zhenyue Jia
  • , Xiaolin Ai
  • , Di Yang
  • , Jianqiao Yu*
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 期刊稿件文章同行评审

摘要

This paper proposes a modified two-part wolf pack search (MTWPS) algorithm updated by the two-part individual encoding approach as well as the transposition and extension (TE) operation for the multiple travelling salesmen problem (MTSP). Firstly, the two-part individual encoding approach is introduced into the original WPS algorithm for MTSP, which is named the two-part wolf pack search (TWPS) algorithm, to minimize the size of the problem search space. Secondly, the analysis of the convergence rate performance is presented to illustrate the reasonability of the maximum terminal generation of the novel TWPS algorithm deeply. Then, based on the definition of the global reachability, the TWPS algorithm is modified by the TE operation further, which can greatly enhance the search ability of the TWPS algorithm.

源语言英语
页(从-至)714-725
页数12
期刊Applied Soft Computing
61
DOI
出版状态已出版 - 12月 2017

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