Ant colony optimisation for machine layout problems

被引:34
作者
Corry, P [1 ]
Kozan, E [1 ]
机构
[1] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld 4001, Australia
基金
澳大利亚研究理事会;
关键词
facilities planning and design; machine layout; ant colony optimisation;
D O I
10.1023/B:COAP.0000033965.99769.98
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Flexible machine layout problems describe the dynamic arrangement of machines to optimise the trade-off between material handling and rearrangement costs under changing and uncertain production environments. A previous study used integer-programming techniques to solve heuristically reduced versions of the problem. As an alternative, this paper introduces an ant colony optimisation (ACO) algorithm to generate good solutions. Experimental results are presented, with ACO obtaining better solutions than the reduction heuristic.
引用
收藏
页码:287 / 310
页数:24
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