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	SA algorithm based on block properties of large-scale FSPs
	Jin Feng ; Song Shi-ji ; Wu Cheng
	2010-05-06 ; 2010-05-06
关键词	Theoretical or Mathematical/ flow shop scheduling probability simulated annealing/ block properties large-scale FSP simulated annealing flow shop scheduling/ C1290F Systems theory applications in industry C1180 Optimisation techniques C1140Z Other topics in statistics E1010 Production management E0210G Optimisation E0210J Statistics E1540 Systems theory applications
中文摘要	Simulated annealing (SA) algorithm is one of the commonly used approaches in solving flow shop scheduling problems (FSPs). For the large-scale FSPs, the accepting probability of the candidate neighbor decreases greatly as the size of neighborhood and the number of bad neighbors increase, which leads to low performance of SA. A kind of simulated annealing algorithm based on the block properties of FSP is proposed to solve the problem. In the proposed algorithm, the whole neighborhood is first divided into several small sub-neighborhoods. The best neighbor in the whole sub-neighborhood is selected as the candidate neighbor so as to increase the accepting probability. Moreover, the block properties of FSP is introduced, with which the size of neighborhood is greatly reduced, and search is then focused on the promising area of the neighborhood, which enhance the performance more. Numerical experiments show that the near-optimal solutions of large-scale FSPs can be found in a short time with the proposed algorithm.
语种	中文 ; 中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/8900]
专题	清华大学
推荐引用方式 GB/T 7714	Jin Feng,Song Shi-ji,Wu Cheng. SA algorithm based on block properties of large-scale FSPs[J],2010, 2010.
APA	Jin Feng,Song Shi-ji,&Wu Cheng.(2010).SA algorithm based on block properties of large-scale FSPs..
MLA	Jin Feng,et al."SA algorithm based on block properties of large-scale FSPs".(2010).

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