期刊文献+

改进的最大-最小蚂蚁算法在有时间窗车辆路径问题中的应用 被引量:43

Improved MMAS for vehicle routing problem with time window
下载PDF
导出
摘要 利用最大-最小策略,最大最小蚂蚁算法减小了蚂蚁算法陷入局部陷阱的可能性。基于对最大最小信息素策略和信息素更新方式的改进,结合快速产生初始解的算法,提出了一种新方法。把该方法应用于有时间窗车辆路径问题,试验结果表明该算法是有效的。 Max-Min Ant System (MMAS) reduced the possibility of ant system being dropped into the local trap via Max-Min strategy. By improved Max-Min pheromone strategy and the way of updating pheromone,an improved algorithm was proposed by based on the traditional algorithm which gave initial results fast. The proposed algorithm was applied to the Vehicle Routing Problem with Time Window(VRPTW). The experiment results indicates that the new algorithm is effective.
出处 《计算机集成制造系统》 EI CSCD 北大核心 2005年第4期572-576,共5页 Computer Integrated Manufacturing Systems
关键词 蚂蚁算法 车辆路径问题 时间窗 ant system vehicle routing problem time window
  • 相关文献

参考文献12

  • 1张丽萍,柴跃廷,曹瑞.有时间窗车辆路径问题的改进遗传算法[J].计算机集成制造系统-CIMS,2002,8(6):451-454. 被引量:54
  • 2COLORNI A, DORIGO M, MANIEZZO V. Distributed optimization by ant colonics [A]. Proceedings of 1st European Conference on Artificial Life (ECAL'91)[C]. Paris, France:Elsevier Publishing, 1991. 134- 142.
  • 3SAVELSBERGH M. Local search for routing problem with time windows [J]. Annals of Operations Research, 1985,16(4) :285-305.
  • 4MARIUS M, SOLOMON M. Algorithms for vehicle routing and scheduling problems with time window constraints[J].Operations Research, 1987,35(2) :763-781.
  • 5THANGIAH S, NYGARD K,JUELL P G. A genetic algorithm system for vehicle routing with time window[A]. Proceedings of the Seventh Conference on Artificial Intelligence Applications[C]. Florida, USA: Morgan Koufmann Publishers, 1991. 322-325.
  • 6JOE L,ROGER L. Multiple vehicle routing with time and capacity constrains using genetic algorithms[A]. Proceedings of the Fifth International Conference on Genetic Algorithms[C].Florida, USA: AAAI, 1993. 452-459.
  • 7李嘉,王梦光,唐立新,宋建海.一类特殊车辆路径问题(VRP)[J].东北大学学报(自然科学版),2001,22(3):245-248. 被引量:13
  • 8STUTZLE T,HOOS H H. Max-Min Ant System[J]. Future Generation Computer Systems, 2000,16(9): 889-914.
  • 9REIMANN M,DOERNER K,HARTL R F. D-Ants: savings based ants divide and conquer the vehicle routing problem [J]. Computers & Operations Research, 2004,31 (5): 563-591.
  • 10BULLNHEIMER B, HARTL R, STRAUSS C. An improved ant system algorithm for the vehicle routing problem [J]. Annals of Operations Research 1999, 89 (13): 319 -328.

二级参考文献10

共引文献94

同被引文献391

引证文献43

二级引证文献292

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