A genetic algorithm approach on a facility layout design problem with aisles

被引：0
|
作者：
Zhou, Gengui
Ye, Mujing
Cao, Zhenyu
Ye, Feng [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Business Adm, Hangzhou, Peoples R China
[2] Penn State Univ, Dept Ind & Mfg Engn, University Pk, PA 16802 USA
来源：
COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS | 2006年 / 4114卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Facility layout problems concerning space layout optimization have been investigated in depth by researchers in many engineering fields. In this paper, a particular facility layout problem with aisles and two objectives at minimizing total cost of material handling and maximizing adjacent requirement between resources is discussed and formulated as an nonlinear mixed-integer programming. To solve the NP-hard problem, a multiple objective genetic algorithm approach with local search method is developed. The application on a practical FLP case and numerical analysis show the effectiveness and efficiency of the proposed method on FLPs.
引用
收藏
页码：1008 / 1013
页数：6
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