Solving Machine Loading Problem in Flexible Manufacturing Systems Using Particle Swarm Optimization

被引：0
|
作者：
Ponnambalam, S. G. [1 ]
Kiat, Low Seng [1 ]
机构：
[1] Monash Univ, Bandar Sunway 46150, Malaysia
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 29 | 2008年 / 29卷
关键词：
Machine loading problem; FMS; Particle Swarm Optimization;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a particle swarm optimization (PSO) algorithm is proposed to solve machine loading problem in flexible manufacturing system (FMS), with bicriterion objectives of minimizing system unbalance and maximizing system throughput in the occurrence of technological constraints such as available machining time and tool slots. A mathematical model is used to select machines, assign operations and the required tools. The performance of the PSO is tested by using 10 sample dataset and the results are compared with the heuristics reported in the literature. The results support that the proposed PSO is comparable with the algorithms reported in the literature.
引用
收藏
页码：14 / 19
页数：6
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