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	Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications
	Lin, Lin; Gen, Mitsuo
刊名	INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
	2018
卷号	56页码:193-223
关键词	evolutionary algorithm machine learning scheduling combinatorial optimisation hybrid algorithm scheduling application
ISSN号	0020-7543
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3272252
专题	大连理工大学
作者单位	1.Dalian Univ Technol, DUT RU Inter Sch Informat Sci & Engn, Dalian, Peoples R China.,Dalian Univ Technol, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian, Peoples R China. 2.Fuzzy Log Syst Inst, Fukuoka, Japan. 3.Fuzzy Log Syst Inst, Fukuoka, Japan. 4.Tokyo Univ Sci, Res Inst Sci Technol, Tokyo, Japan.
推荐引用方式 GB/T 7714	Lin, Lin,Gen, Mitsuo. Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2018,56:193-223.
APA	Lin, Lin,&Gen, Mitsuo.(2018).Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,56,193-223.
MLA	Lin, Lin,et al."Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 56(2018):193-223.

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