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  • 标题:Genetic Algorithm Enhancement to Solve Multi Source Multi Product Flexible Multistage Logistics Network
  • 本地全文:下载
  • 作者:Seyedyaser Bozorgirad ; Mohammad Ishak Desa ; Antoni Wibowo
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:3
  • 出版社:IJCSI Press
  • 摘要:To be successful in todays active business competition, enterprises need to design and build a productive and flexible logistics network. The flexible multistage logistic network (fMLN) problem is NP-hard. The previous papers were considering the problem as a single source logistic network problem while in real world we face a multi source logistic network problem. In this paper, we shall find the minimum cost of fMLN using proposed Route Based Genetic Algorithm (RB-GA) with considering a multi source multi product flexible multistage logistics network and the comparison based on numerical result between RB-GA and standard gentic algorithm is presented. We applied the penalty method in GA and new representation of GA to satisfy all existing constraints when. Additionally, we investigate all products amounts shipped from plants to customer. The best every product delivery route for each customer considering the constraints fulfilled will be found.
  • 关键词:Multi Source Multi Product Flexible Multistage Logistics Network; Genetic Algorithms; Penalty Methods
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