计算机集成制造系统 ›› 2020, Vol. 26 ›› Issue (7): 1749-1755.DOI: 10.13196/j.cims.2020.07.003

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考虑多目标件的异步并行选择性拆卸序列

邓明星1,陈方颖1,唐秋华2,陈刚3   

  1. 1.武汉科技大学汽车与交通工程学院
    2.武汉科技大学机械自动化学院
    3.武汉东风鸿泰汽车资源循环利用有限公司
  • 出版日期:2020-07-31 发布日期:2020-07-31
  • 基金资助:
    国家自然科学基金资助项目(51875421)。

Asynchronous parallel selective disassembly sequence considering multi-targets

  • Online:2020-07-31 Published:2020-07-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51875421).

摘要: 基于异步并行拆卸概念,提出一种考虑多目标件的异步并行选择性拆卸序列规划方法。通过对多目标件选择性拆卸问题的分析,基于优先关系获取最小拆卸零部件合集,并构建异步并行选择性拆卸序列规划的数学模型。根据所研究问题改进遗传算法,采用两段式编码与解码方法,融入路径重连思想,以快速寻得最优(近优)解。通过对汽车发动机进行案例分析,并在不同初始条件下对改进遗传算法运行结果进行分析,验证了改进遗传算法的有效性与可行性。

关键词: 多目标件, 拆卸序列规划, 选择性拆卸, 遗传算法, 异步并行拆卸, 汽车发动机

Abstract: Based on the concept of asynchronous parallel disassembly,an asynchronous parallel selective disassembly sequence planning method was proposed considering multi-objectives.The minimum set of disassembled components was obtained based on the priority relationship and then the mathematical model of asynchronous parallel selective disassembly sequence planning was constructed.According to the researched problem,the genetic algorithm was improved,and the two-stage coding and decoding method was adopted to integrate the path relinking method to find the optimal (near-optimal) solution quickly.Through the case study of an automobile engine,the results of the improved genetic algorithm under different initial conditions was analyzed,and the effectiveness and practicability of the improved genetic algorithm were verified.

Key words: multi-targets, disassembly sequence planning, selective disassembly, genetic algorithms, asynchronous parallel disassembly, automobile engine

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