A Migrating Birds Optimization Algorithm for Machine-Part Cell Formation Problems

被引：15

作者：

Soto, Ricardo ^{[1
,2
,3
]}

Crawford, Broderick ^{[1
,4
,5
]}

Almonacid, Boris ^{[1
]}

Paredes, Fernando ^{[6
]}

机构：

[1] Pontificia Univ Catolica Valparaiso, Valparaiso, Chile

[2] Univ Autonoma Chile, Santiago, Chile

[3] Univ Cient Sur, Lima, Peru

[4] Univ Cent Chile, Santiago, Chile

[5] Univ San Sebastian, Santiago, Chile

[6] Univ Diego Portales, Escuela Ingn Ind, Santiago, Chile

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, MICAI 2015, PT I | 2015年 / 9413卷

关键词：

Cell formation problem; Nature-inspired algorithms; Migrating birds optimization; Meta-heuristics; GROUP-TECHNOLOGY; FORMATION FLIGHT;

D O I：

10.1007/978-3-319-27060-9_22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Machine-Part Cell Formation Problems consists in organizing a plant as a set of cells, each one of them processing machines containing the same type of parts. In recent years, different meta-heuristic have been used to solve this problem. This paper addresses the problem of Machine-Part Cell Formation by using the Migrating Birds Optimization algorithm. The computational experiments show that inmost of the benchmark problems the results obtained from the proposed approach are better than those obtained by other methods which are reported in the literature.

引用

页码：270 / 281

页数：12

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