Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58372
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dc.contributor.authorW. Wisittipanichen_US
dc.contributor.authorP. Hengmeechaien_US
dc.date.accessioned2018-09-05T04:23:15Z-
dc.date.available2018-09-05T04:23:15Z-
dc.date.issued2018-02-09en_US
dc.identifier.issn2157362Xen_US
dc.identifier.issn21573611en_US
dc.identifier.other2-s2.0-85045251088en_US
dc.identifier.other10.1109/IEEM.2017.8289849en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045251088&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58372-
dc.description.abstract© 2017 IEEE. This paper presents an application of the modified version of Differential Evolution, call 2-Stage DE (2S-DE), for solving the transshipment of multiple product types in a multi-door cross docking system when a storage is allowed to be temporarily hold at the shipping dock. The objective is to find the truck schedule that minimizes the makespan. The performances of the proposed 2S-DE are evaluated and compared with the original DE and the GLNPSO previously published in literature. Using a set of generated instances, the experimental results show that all algorithms are able to find optimal solutions in small-size problems easily. However, when the problem becomes more complex, 2S-DE is superior to the GLNPSO and the original DE since it statistically shows outstanding results in terms of solution quality and convergence behavior.en_US
dc.subjectBusiness, Management and Accountingen_US
dc.subjectEngineeringen_US
dc.titleComparison of PSO and de for truck scheduling in multi-door cross docking terminalsen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleIEEE International Conference on Industrial Engineering and Engineering Managementen_US
article.volume2017-Decemberen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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