计算机集成制造系统 ›› 2018, Vol. 24 ›› Issue (第3): 558-569.DOI: 10.13196/j.cims.2018.03.003

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基于蚁群算法的多加工路线柔性车间调度问题

黄学文,张晓彤,艾亚晴   

  1. 大连理工大学管理与经济学部
  • 出版日期:2018-03-31 发布日期:2018-03-31
  • 基金资助:
    国家科技支撑计划资助项目(2015BAF09B01)。

ACO integrated approach for solving flexible job-shop scheduling with multiple process plans

  • Online:2018-03-31 Published:2018-03-31
  • Supported by:
    Project supported by the National Science and Technology Support Program,China(No.2015BAF09B01).

摘要: 针对具有工艺路径柔性和机器柔性的多加工路线柔性车间调度问题(FJSP-MPP),基于OR子图,提出一种新的四元组数学描述方法来描述工艺路径柔性和机器柔性;以最小化最大完工时间为优化目标,构建了FJSP-MPP的数学模型。在不需要预先建立析取图模型的前提下,通过设计OR子图和工件的Allowed列表和Tabu列表的相关操作算法,构造了面向FJSP-MPP的蚂蚁路径;通过引入额外的节点信息素,改进信息素更新策略和状态转移规则,实现了蚁群算法求解FJSP-MPP。不同规模数据实验结果表明,该算法具有良好的优化性能。

关键词: 柔性车间调度, 工艺路径柔性, 机器柔性, 蚁群算法

Abstract: For Flexible Job-shop Scheduling Problem with Multiple Process Plans (FJSP-MPP),a Four-Tuple based Mathematical Scheme (FTMS) was proposed for describing processing flexibility and operation flexibility.With the optimization objective of minimizing the makespan,a mathematical model on FJSP-MPP was constructed.Without establishing upfront the disjunctive graph model for FJSP-MPP,the ant path oriented to this problem was generated based on related algorithms of Allowed and Tabu lists for OR-subgraph and job.By introducing an extra pheromone on node,and modifying the pheromone update strategy and transition probability rule,an integrated scheduling algorithm for FJSP-MPP based on ant colony optimization was developed.The comparison and analysis of four different scale scheduling problems showed that the proposed algorithm had a good optimization performance.

Key words: flexible job-shop scheduling, processing flexibility, operation flexibility, ant colony algorithm

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