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The fuzzy quadratic assignment problem with penalty: New models and genetic algorithm
Liu, LZ ; Li, YZ
2010-05-06 ; 2010-05-06
关键词fuzzy set assignment problem genetic algorithm quadratic assignment problem credibility measure BOUND ALGORITHM Mathematics, Applied
中文摘要The assignment problem is to find the total costs optimal jobs assignment schedule where n jobs are allocated to n workers, and each worker receives exactly just one job, Such that the total cost is optimal. The quadratic assignment problem with penalty takes three types of costs into consideration: direct cost, interactive cost an penalty. In this paper, the fuzzy quadratic assignment problem with penalty is formulated as expected value model, chance-constrained programming and depenclent-chance programming according to various decision criteria, and the crisp equivalents are given. Furthermore, hybrid genetic algorithm is designed for solving the proposed fuzzy programming models. (c) 2005 Elsevier Inc. All rights reserved.
语种英语 ; 英语
出版者ELSEVIER SCIENCE INC ; NEW YORK ; 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/14264]  
专题清华大学
推荐引用方式
GB/T 7714
Liu, LZ,Li, YZ. The fuzzy quadratic assignment problem with penalty: New models and genetic algorithm[J],2010, 2010.
APA Liu, LZ,&Li, YZ.(2010).The fuzzy quadratic assignment problem with penalty: New models and genetic algorithm..
MLA Liu, LZ,et al."The fuzzy quadratic assignment problem with penalty: New models and genetic algorithm".(2010).
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