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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

自动化学报Issue(3):528-540,13.
自动化学报Issue(3):528-540,13.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

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

左兴权 1王春露 2赵新超1

作者信息

  • 1. 北京邮电大学计算机学院 北京 100876
  • 2. 可信分布式计算与服务教育部重点实验室 北京 100876
  • 折叠

摘要

Abstract

Facility layout is very significant for improving production efficiency and decreasing operational cost. Aimed at the double row layout problem commonly encountered in the context of semiconductor manufacturing, an approach combining a multi-objective immune algorithm with a linear programming is proposed to simultaneously optimize the two objectives of material flow cost and layout area. Firstly, a mix-integer programming model is established for this problem. Secondly, based on the problem0s characteristic of involving both combinatorial (machine sequence) and continuous (exact machine position) aspects, a multi-objective immune algorithm is devised to obtain a set of non-dominated machine sequences, and then a linear programming based method is proposed to construct a set of continuous non-dominated solutions for an arbitrary non-dominated machine sequence. Finally, the set of final Pareto solutions is created from all the continuous non-dominated solutions. Experimental results show that for small size problems our approach is able to obtain the optimal Pareto solutions, and for large size problems our approach can achieve Pareto solutions with good distribution, which are far better than those obtained by NSGA-II and an exact approach.

关键词

设备布局问题/免疫算法/多目标优化/线性规划

Key words

Facility layout problem/immune algorithm/multi-ob jective optimization/linear programming

引用本文复制引用

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[J].自动化学报,2015,(3):528-540,13.

基金项目

国家自然科学基金(61374204,61375066)资助Supported by National Natural Science Foundation of China (61374204,61375066) (61374204,61375066)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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