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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/75935

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75935

Title:	Genetic algorithms for the two-stage bicriteria flowshop problem
Authors:	Chen, Chuen-lung;Gupta, Jatinder N. D.;Venkata Ranga Neppalli 陳春龍
Contributors:	資管系
Keywords:	Flow shop;Bicriteria scheduling;Genetic algorithms;Comparative evaluations
Date:	1996
Issue Date:	2015-06-17 17:20:32 (UTC+8)
Abstract:	This paper considers the two-stage bicriteria flow shop scheduling problem with the objective of minimizing the total flow time subject to obtaining the optimal makespan. In view of the NP-hard nature of the problem, two Genetic Algorithms (GA) based approaches are proposed to solve the problem. The effectiveness of the proposed GA based approaches is demonstrated by comparing their performance with the only known heuristic for the problem. The computational experiments show that the proposed GA based approaches are effective in solving the problem and recommend that the proposed GA based approaches are useful for solving the multi-machine, multi-criteria scheduling problems.
Relation:	European Journal of Operational Research - EJOR , vol. 95, no. 2, pp. 356-373
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/0377-2217(95)00275-8
DOI:	10.1016/0377-2217(95)00275-8
Appears in Collections:	[資訊管理學系] 期刊論文

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