运筹与管理 ›› 2019, Vol. 28 ›› Issue (3): 104-110.DOI: 10.12005/orms.2019.0062

• 理论分析与方法探讨 • 上一篇    下一篇

一种自适应人工蜂群算法求解U型顺序相依拆卸线平衡问题

王书伟1, 郭秀萍1, 刘佳2   

  1. 1.西南交通大学 经济管理学院,四川 成都 610031;
    2.青岛理工大学 商学院,山东 青岛 266520
  • 出版日期:2019-03-25
  • 通讯作者: 郭秀萍(1977-)女,内蒙武川人,副教授,博士生导师,主要从事供应链管理,智能算法研究。
  • 作者简介:王书伟(1985-),男,山东烟台人,副教授,博士生,研究方向:物流供应链管理、优化理论与算法;刘佳(1985-),女,山东淄博人,博士,研究方向:多目标决策、算法分析
  • 基金资助:
    国家自然科学基金资助项目(71471151);中央高校基本科研业务费专项资金(26816WCX04)

A Self-adaptive Artificial Bee Colony Algorithm for Solving U-shapedSequence-dependent Disassembly Line Balancing

WANG Shu-wei1, GUO Xiu-ping1, LIU Jia2   

  1. 1.School of Economics & Management, Southwest Jiaotong University, Chengdu 610031 China;
    2.Business School, Qingdao University of Technology, Qingdao 266520 China
  • Online:2019-03-25

摘要: 产品拆卸过程中零部件之间会相互干扰影响任务作业时间,基于该情形构建了多目标U型SDDLBP优化模型,并提出一种自适应ABC算法。所提算法设计了自适应动态邻域搜索方法,以提高局部开发能力;采用了轮盘赌与锦标赛法结合的分段选择法,以有效评价并选择蜜源进行深度开发;建立了基于当前最优解的变异操作,以提高全局探索能力快速跳出局部最优。最后,通过算例测试和实例分析验证算法的高效性。

关键词: U型拆卸线, 顺序相依, ABC算法, 动态邻域搜索

Abstract: Considering interactions among precedence-free tasks in the disassembly process, a multi-objective U-shaped SDDLBP is presented, and a self-adaptive ABC algorithm is developed to solve it. In order to enhance the capability of local exploration, a dynamic neighborhood search method is proposed. A multi-stage evaluation method of roulette wheel selection and tournament selection is used to effectively choose food sources for further exploration. The mutation operator based on the current best solution is designed to improve the global exploitation and jump out of the local optimum rapidly. Finally, the performance of the proposed algorithm is tested by a set of benchmark instances and two case scenarios. Computational results indicate that the proposed algorithm has superior performance.

Key words: U-shaped disassembly line, sequence-dependent, artificial bee colony algorithm, dynamic neighborhood search

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