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An effective genetic algorithm for the resource levelling problem with generalised precedence relations
Li, Hongbo[1]; Xiong, Li[2]; Liu, Yinbin[3]; Li, Haitao[4]
刊名INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
2018
卷号56页码:2054-2075
关键词project scheduling resource levelling generalised precedence relations make-to-order production metaheuristics
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/2173932
专题上海大学
作者单位1.[1]Shanghai Univ, Sch Management, Shanghai, Peoples R China.
2.[2]Shanghai Univ, Sch Management, Shanghai, Peoples R China.
3.[3]Shanghai Univ, Sch Management, Shanghai, Peoples R China.
4.[4]Tianjin Univ Commerce, Sch Econ, Tianjin, Peoples R China.,Univ Missouri St Louis, Coll Business Adm, Dept Logist & Operat Management, St Louis, MO USA.
推荐引用方式
GB/T 7714
Li, Hongbo[1],Xiong, Li[2],Liu, Yinbin[3],et al. An effective genetic algorithm for the resource levelling problem with generalised precedence relations[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2018,56:2054-2075.
APA Li, Hongbo[1],Xiong, Li[2],Liu, Yinbin[3],&Li, Haitao[4].(2018).An effective genetic algorithm for the resource levelling problem with generalised precedence relations.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,56,2054-2075.
MLA Li, Hongbo[1],et al."An effective genetic algorithm for the resource levelling problem with generalised precedence relations".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 56(2018):2054-2075.
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