A hybrid optimization algorithm with genetic and bacterial operators for the design of cellular manufacturing systems

被引：5
|
作者：
Mejia-Moncayo, Camilo [1 ]
Battaia, Olga [2 ]
机构：
[1] Univ EAN, Bogota, Colombia
[2] ISAE Supaero, Toulouse, France
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 13期
关键词：
Cellular manufacturing; Cell formation; Workload balancing; Facility layout; Genetic Algorithm; Bacterial chemotaxis; Hybrid algorithm; GROUP-TECHNOLOGY; TAXONOMY;
D O I：
10.1016/j.ifacol.2019.11.396
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We consider a design problem for cellular manufacturing systems. In order to improve the efficiency of the designed system, three optimization problems are considered jointly in the same optimization procedure: cell formation, workload balancing and cell layout. A hybrid metaheuristic algorithm with genetic and bacterial operators is developed to optimize the performances of the designed cellular manufacturing system. The results obtained on benchmark problems are discussed. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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页码：1409 / 1414
页数：6
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