期刊文献+

基于改进的蚁群算法求解物流订单派送问题 被引量:3

Issues of Logistics Delivery Orders Based on an Improved Ant Colony Algorithm
下载PDF
导出
摘要 物流定单派送问题是现代物流配送服务的关键环节之一,需要设计一个快速有效的求解算法。为此,构建了物流定单派送路径优化问题的数学模型,设计了一个改进的蚁群算法来求解该问题。仿真试验结果表明,该算法具有较好的全局寻优能力,收敛速度快,是解决物流定单派送问题的有效算法。 The logistics delivery order is one of the key processes of modern logistics distribution service,which needs a fast and efficient algorithm.Therefore a mathematical model is designed to optimize the routes of logistics delivery orders based on an improved ant colony algorithm.Simulation test results show that this algorithm can do a much better job in global optimization and convergence speed and it is the most efficient way to solve the problems of logistics delivery orders.
出处 《科技管理研究》 北大核心 2010年第24期111-114,共4页 Science and Technology Management Research
基金 陕西自然科学基金资助项目(2007E217) 陕西省重点学科建设专项资金资助项目
关键词 蚁群算法 物流 物流定单派送 优化 ant colony algorithm logistics logistics delivery orders optimization
  • 相关文献

参考文献4

二级参考文献13

  • 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27

同被引文献24

引证文献3

二级引证文献6

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