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dc.contributor.authorHsieh, Ming-Shing
dc.contributor.authorHuang, Yong-Huai
dc.contributor.authorTseng, Din-Chang
dc.date.accessioned2009-08-23T04:40:06Z
dc.date.accessioned2020-05-25T06:23:59Z-
dc.date.available2009-08-23T04:40:06Z
dc.date.available2020-05-25T06:23:59Z-
dc.date.issued2006-10-23T04:54:47Z
dc.date.submitted1998-12-17
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2146-
dc.description.abstractIn this paper, we propose a genetic search algorithm based on the timed Petri net model in order to find an optimal or near optimal dispatching rules under specific performacce measures and restrictions. The chromosomes that start with an initial marking repersent all conflict resolutions for resources assignment and resources dispatching order. The fitness associated with penalties of each trial solution is assesses by the measure of fitness function. Our experiments show that the proposed approach does represent a good alternative for dispatching strategies of FMS problems.
dc.description.sponsorship成功大學,台南市
dc.format.extent7p.
dc.format.extent470757 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries1998 ICS會議
dc.subject.otherAgents & Machine Learning
dc.titleGENETIC ALGORITHM BASED DISPATCHING RULES FOR FMS SCHEDULING
分類:1998年 ICS 國際計算機會議

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