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An improved multi-agent approach for solving large traveling salesman problem

  • Yu An Tan*
  • , Xin Hua Zhang
  • , Li Ning Xing
  • , Xue Lan Zhang
  • , Shu Wu Wang
  • *此作品的通讯作者
  • Shandong University of Finance and Economics
  • National University of Defense Technology
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The traveling salesman problem (TSP) is a very hard optimization problem in the field of operations research. It has been shown to be NP-hard, and is an often-used benchmark for new optimization techniques. This paper proposes an improved multi-agent approach for solving large TSP. This proposed approach mainly includes three kinds of agents with different function. The first kind of agent is conformation agent and its function is generating the new solution continuously. The second kind of agent is optimization agent and its function is optimizing the current solutions group. The third kind of agent is refining agent and its function is refining the best solution from the beginning of the trial. At same time, there are many sub-agents in each kind of agent. These sub-agents accomplish the task of its superior agent cooperatively. At the end of this paper, the experimental results have shown that the proposed hybrid approach has good performance with respect to the quality of solution and the speed of computation.

源语言英语
主期刊名Agent Computing and Multi-Agent Systems
主期刊副标题9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Proceedings
出版商Springer Verlag
页351-361
页数11
ISBN(印刷版)3540367071, 9783540367079
DOI
出版状态已出版 - 2006
活动9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006 - Guilin, 中国
期限: 7 8月 2006 → 8 8月 2006

丛书

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷4088 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006
国家/地区中国
市Guilin
时期7/08/06 → 8/08/06

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