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A Novel Tabu Search Algorithm for Multi-AGV Routing Problem

Author

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  • Lining Xing

    (School of Logistics, Central South University of Forestry and Technology, Changsha 410004, China
    College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)

  • Yuanyuan Liu

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
    College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Haiyan Li

    (College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Chin-Chia Wu

    (Department of Statistics, Feng Chia University, Taichung 40724, Taiwan)

  • Win-Chin Lin

    (Department of Statistics, Feng Chia University, Taichung 40724, Taiwan)

  • Xin Chen

    (School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou 121001, China)

Abstract

In this paper, we propose a novel tabu search (NTS) algorithm that improves the efficiencies of picking goods of automated guided vehicles (AGVs) in an automatic warehouse by solving the conflicts that happen when multiple AGVs work at the same time. Relocation and exchanging operations are designed for the neighborhood searching process based on each pickup-point’s location in the warehouse, along with the initial solution generation and the termination condition in the proposed algorithm. The experimental results show that the tabu search algorithm can effectively optimize the order of pickup points, which could further reduce the total travel distance and improve the efficiencies of AGVs in automatic warehouses.

Suggested Citation

  • Lining Xing & Yuanyuan Liu & Haiyan Li & Chin-Chia Wu & Win-Chin Lin & Xin Chen, 2020. "A Novel Tabu Search Algorithm for Multi-AGV Routing Problem," Mathematics, MDPI, vol. 8(2), pages 1-16, February.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:2:p:279-:d:322556
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    References listed on IDEAS

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    Cited by:

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