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  • 标题:Improved Harmony Search Algorithm for Truck Scheduling Problem in Multiple-Door Cross-Docking Systems
  • 本地全文:下载
  • 作者:Zhanzhong Wang ; Yue Lu ; Liying Zhao
  • 期刊名称:Discrete Dynamics in Nature and Society
  • 印刷版ISSN:1026-0226
  • 电子版ISSN:1607-887X
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/7913256
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The key of realizing the cross docking is to design the joint of inbound trucks and outbound trucks, so a proper sequence of trucks will make the cross-docking system much more efficient and need less makespan. A cross-docking system is proposed with multiple receiving and shipping dock doors. The objective is to find the best door assignments and the sequences of trucks in the principle of products distribution to minimize the total makespan of cross docking. To solve the problem that is regarded as a mixed integer linear programming (MILP) model, three metaheuristics, namely, harmony search (HS), improved harmony search (IHS), and genetic algorithm (GA), are proposed. Furthermore, the fixed parameters are optimized by Taguchi experiments to improve the accuracy of solutions further. Finally, several numerical examples are put forward to evaluate the performances of proposed algorithms.
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