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基于改进遗传算法的物流配送最优路径搜索

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摘要 该文介绍了基于改进遗传算法的最优路径搜索。模拟了物流配送过程中最优路径规划,避免了传统遗传算法在操作时会产生大量无效路径和"早熟"现象,并具有准确、高效等优点。实践结果证明该算法可以为物流配送提供有效服务。
作者 刘斌 吴斌
出处 《电脑知识与技术》 2013年第11X期7566-7567,7570,共3页 Computer Knowledge and Technology
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  • 1Fisher M L. Optimal solution of Vehicle Routing Problems Using Minimum K-trees[J]. Operations Research, 1994,42:626-642.
  • 2Clarke G, Wright J. Scheduling of Vehicles from a Central Depot to Number of Delivery Points[J]. Operations Research. 1964,12(4):12-18.
  • 3Bramel J Simchi-Levi D. A Location Based Heuristic for General Routing Problems[J].Operations Research, 1995,43:649-660.
  • 4Gillettm B E, Miller L R. A Heuristic Algorithm for the Vehicle Dispatch Problemm[J]. Operations Research, 1974, 22:340-349.
  • 5Barrie M Baker, M A Ayechew. A Genetic Algorithm for the Vehicle Routing Problem[J]. Computers &Operations Research, 2003,30:787-800.
  • 6Osman I H. Metastrategy Simulated Annealing and Tabu Search Algorithms for the Vehicle Routing Problem[J]. Annals of Operations Research, 1993,41:421-451.
  • 7Pereira F B, Tavares J, Machado P, Costa E. GVR: a New Genetic Representation for the Vehicle Routing Problem[A]. In Proceedings of the 13th Irish Conference on Artificial Intelligence and Cognitive Science(AICS 2002)[C]. 95-102, Limerick, Ireland, 12-13 September, 2002.
  • 8Machado P, Tavares J, Pereira F B, Costa E. Vehicle Routing Problem: Doing it the Evolutionary Way[A]. In Proceedings of the Genetic and Evolutionary Computation Conference(GECCO 2002)[C]. 690, New York, USA, 9-13 July, 2002.
  • 9Tavares J, Pereira F B, Machado P, Costa E. On the Influence of GVR in Vehicle Routing[A]. In Proceedings of the 2003 ACM Symposium On Applied Computing(SAC 2003)-Evolutionary Computation And Optimization Track[C]. 753-758, Melbourne, Florida, USA, 9-13 March, 2003.
  • 10Lin S, Kernigham B W. An effective heuristic algorithm for the travelling salesman problem[J]. Operations Research, 1973,21:498-516.

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