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dc.contributor.authorYang, Lv Qingzh_CN
dc.contributor.authorYan, Qiangzh_CN
dc.contributor.author杨律青zh_CN
dc.date.accessioned2015-07-22T02:16:19Z
dc.date.available2015-07-22T02:16:19Z
dc.date.issued2014zh_CN
dc.identifier.citationAdvanced Materials Research, 2014,989-994:1547-1550zh_CN
dc.identifier.issn1022-6680zh_CN
dc.identifier.other20143418083179zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/85820
dc.descriptionConference Name:4th International Conference on Materials Science and Information Technology, MSIT 2014. Conference Address: Tianjin, China. Time:June 14, 2014 - June 15, 2014.zh_CN
dc.descriptionComputer Science and Electronic Technology; Inst. of Mechatronics Eng., Tianjin Univ. of Technol. and Educ.; Trans Tech Publications inc.zh_CN
dc.description.abstractIntelligent warehouse management can effectively improve the work efficiency and decreasing operating costs for a company, and the reasonableness of warehouse layout has played a very important role in it. This paper will aim at the warehouse layout problem, analyze the superiority of genetic algorithm and dynamic programming for the problem, and base on the genetic algorithm, integrating the thoughts of dynamic programming to put forward an optimization strategy. It can improve the accuracy and efficiency of genetic algorithm by a modified encoding scheme and fitness function, in order to put forward a more optimal scheme of warehouse layout, provide the information base for following operation of warehouse management, and improve the intelligent level of warehouse management system. ? (2014) Trans Tech Publications, Switzerland.zh_CN
dc.language.isoen_USzh_CN
dc.publisherTrans Tech Publications Ltdzh_CN
dc.source.urihttp://dx.doi.org/10.4028/www.scientific.net/AMR.989-994.1547zh_CN
dc.subjectAlgorithmszh_CN
dc.subjectDynamic programmingzh_CN
dc.subjectGenetic algorithmszh_CN
dc.subjectIndustrial managementzh_CN
dc.subjectInformation managementzh_CN
dc.titleResearch of intelligent warehouse layout base on genetic algorithm and dynamic programmingzh_CN
dc.typeConferencezh_CN


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