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	A hybrid PSO-GA algorithm for job shop scheduling in machine tool production
	Liu, Li-Lan[1]; Hu, Rong-Song[2]; Hu, Xiang-Ping[3]; Zhao, Gai-Ping[4]; Wang, Sen[5]
刊名	INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
	2015
卷号	53页码:5755-5781
关键词	particle swarm optimization (PSO) generic algorithm (GA) simulated annealing (SA) job shop scheduling problem (JSSP) tardiness makespan
ISSN号	0020-7543
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2268628
专题	上海大学
作者单位	1.[1]Shanghai Univ, Shanghai Key Lab Mfg Automat & Robot, Shanghai, Peoples R China. 2.[2]Shanghai Univ, Shanghai Key Lab Mfg Automat & Robot, Shanghai, Peoples R China. 3.[3]Univ Oslo, Dept Math, Oslo, Norway. 4.[4]Shanghai Univ, Shanghai Key Lab Mfg Automat & Robot, Shanghai, Peoples R China. 5.[5]Shanghai Baosight Software Co, Shanghai, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Li-Lan[1],Hu, Rong-Song[2],Hu, Xiang-Ping[3],et al. A hybrid PSO-GA algorithm for job shop scheduling in machine tool production[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2015,53:5755-5781.
APA	Liu, Li-Lan[1],Hu, Rong-Song[2],Hu, Xiang-Ping[3],Zhao, Gai-Ping[4],&Wang, Sen[5].(2015).A hybrid PSO-GA algorithm for job shop scheduling in machine tool production.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,53,5755-5781.
MLA	Liu, Li-Lan[1],et al."A hybrid PSO-GA algorithm for job shop scheduling in machine tool production".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 53(2015):5755-5781.

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