ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM

被引：0
|
作者：
Kulturel-Konak, Sadan [1 ]
Konak, Abdullah [1 ]
机构：
[1] Penn State Berks, Reading, PA 19610 USA
来源：
ECTA 2011/FCTA 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION THEORY AND APPLICATIONS AND INTERNATIONAL CONFERENCE ON FUZZY COMPUTATION THEORY AND APPLICATIONS | 2011年
关键词：
Unequal Area Facility Layout; Relax Flexible Bay Structure; Ant Colony Optimization; BAY STRUCTURE REPRESENTATION;
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：
In this paper, an ant colony optimization (ACO) approach is proposed to solve the Facility Layout Problem (FLP) with unequal area departments. The flexible bay structure (FBS) is relaxed by allowing empty spaces in bays, which results in more flexibility while assigning departments in bays. The comparative results show that the ACO approach is very promising.
引用
收藏
页码：273 / 277
页数：5
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