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一种结合多目标免疫算法和线性规划的双行设备布局方法

左兴权 王春露 赵新超

左兴权, 王春露, 赵新超. 一种结合多目标免疫算法和线性规划的双行设备布局方法. 自动化学报, 2015, 41(3): 528-540. doi: 10.16383/j.aas.2015.c140082
引用本文: 左兴权, 王春露, 赵新超. 一种结合多目标免疫算法和线性规划的双行设备布局方法. 自动化学报, 2015, 41(3): 528-540. doi: 10.16383/j.aas.2015.c140082
ZUO Xing-Quan, WANG Chun-Lu, ZHAO Xin-Chao. Combining Multi-objective Immune Algorithm and Linear Programming for Double Row Layout Problem. ACTA AUTOMATICA SINICA, 2015, 41(3): 528-540. doi: 10.16383/j.aas.2015.c140082
Citation: ZUO Xing-Quan, WANG Chun-Lu, ZHAO Xin-Chao. Combining Multi-objective Immune Algorithm and Linear Programming for Double Row Layout Problem. ACTA AUTOMATICA SINICA, 2015, 41(3): 528-540. doi: 10.16383/j.aas.2015.c140082

一种结合多目标免疫算法和线性规划的双行设备布局方法

doi: 10.16383/j.aas.2015.c140082
基金项目: 

国家自然科学基金(61374204, 61375066)资助

详细信息
    作者简介:

    王春露 北京邮电大学计算机学院副教授.1994年获得哈尔滨工业大学计算机科学与技术专业硕士学位.主要研究方向为计算智能, 云计算, 文件存储系统.E-mail: wangcl@bupt.edu.cn

    通讯作者:

    左兴权 北京邮电大学计算机学院副教授.2004年获得哈尔滨工业大学控制科学与控制工程专业博士学位.主要研究方向为智能优化与调度, 设备布局优化, 进化计算及应用.本文通信作者. E-mail: zuoxq@bupt.edu.cn

Combining Multi-objective Immune Algorithm and Linear Programming for Double Row Layout Problem

Funds: 

Supported by National Natural Science Foundation of China (61374204, 61375066)

  • 摘要: 设备布局对于提高生产效率和降低运营成本具有重要意义. 本文针对半导体加工制造中常见的双行设备布局问题, 提出了一种结合多目标免疫算法和线性规划的双行设备布局方法来同时优化物料流成本和布局面积两个目标. 首先, 建立了问题的混合整数规划模型;其次, 针对问题既含有组合方面(机器排序)又含有连续方面(机器精确位置)的特点, 分别设计了一种多目标免疫算法来获取非支配的机器排序集合, 提出了一种基于线性规划的方法来构造任一非支配机器排序对应的连续的非支配解集;最后, 由所有连续的非支配解来构造最后Pareto解. 实验结果表明, 该方法对于小规模问题能获得最优Pareto解, 对于大规模问题能够获得具有良好分布性的Pareto解且其质量远好于NSGA-II和精确算法获得的解.
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出版历程
  • 收稿日期:  2014-02-19
  • 修回日期:  2014-10-16
  • 刊出日期:  2015-03-20

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