期刊文献+

探究两阶段式的物流配送路径优化方法 被引量:1

下载PDF
导出
摘要 两阶段式物流配送通常是应用遗传算法,并整合蚁群算法的相关优化点,经由组合优化理论完成物流配送。而遗传算法能够有效明确物流配送的基本路径,并对路径优化展开了初步了解。但随后,又出现了蚁群算法,这一算法能够快速明确物流配送的理想方案。在本文中,笔者将结合实践经验,重点剖析两阶段式物流配送问题,希望可为相关的研究活动提供一定的借鉴。
作者 李奕
出处 《全国流通经济》 2017年第13期18-19,共2页 China Circulation Economy
  • 相关文献

参考文献2

二级参考文献17

  • 1刘志硕,申金升.基于解均匀度的车辆路径问题的自适应蚁群算法[J].系统仿真学报,2005,17(5):1079-1083. 被引量:21
  • 2DORIGO M,CARO G D.Ant algorithms for discrete optimization[J].ArtificialLife,1999,5 (2):137-172.
  • 3DORIGO M,VITTORIO M,ALBERTO C.The ant system:optimization by a colony of cooperating Agents[J].IEEE Transactions on Systems,Man,and Cybernetics-Part B,1996,26(1):1-13.
  • 4COSTA D,HERTZ A.Ants can color graphs[J].Journal of the Operational Research Society,1997,48(3):295-305.
  • 5AKON M M,GOSWAMI D,JYOTI A.Routing in telecommunication network with controlled ant population[A].Proceedings of the First IEEE Consumer Communications and Networking Conference[C].New York,NY,USA:Institute of Electrical and Electronics Engineers Inc,2004.665-667.
  • 6KASILINGAM R G.Logistics and transportation:design and planning[M].Boston,MA,USA:Kluwer Academic Publishers,1998.29-33.
  • 7MURAO H,TOHMATA K,KONISHI M,et al.Pheromone based transportation scheduling system for the multi-vehicle routing problem[A].IEEE International Conference on Systems,Man and Cybernetics[C].Piscataway,NJ,USA:Institute of Electrical and Electronics Engineers Inc,1999.
  • 8KUO R J,CHIU C Y,LIN Y J.Integration of fuzzy theory and ant algorithm for vehicle routing problem with time window[A].Annual Meeting of the North American Fuzzy Information Processing Society[C].Piscataway,NJ,USA:Institute of Electrical and Electronics Engineers Inc,2004.925-930.
  • 9LENSTRA J K,RINNOOY K.Complexity of vehicle routing and scheduling problem[J].Networks,1981,11 (2):221-227.
  • 10SAVELSBERG H M.Local search in routing problem with time window[J].Operations Research,1985,33 (4):285-305.

共引文献25

同被引文献3

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部