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路径长度受限的随机需求VRP的节省算法及其策略分析 被引量:1

Modified saving-algorithm and strategy analysis for path length constrained vehicle routing problem with stochastic demand
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摘要 在保证每条路径长度限制,至多只能服务失败一次和不允许部分服务的策略下,定义了一个新的节省路径,给出了一个精确的节省算法,对中等规模和大规模问题进行了数值试验,数值试验表明算法有效。对所采用的策略进行了分析,得到了一些理论结果。 Under the strategy of keeping path length constrained tightly and only one time routing service failure and no part service, a new routing-saving path was defined and a saving- algorithm is proposed. The algorithm was tested under middle and large-scale PSVRP numerically; numerical result indicated the algorithm is valid. The strategy analysis was discussed and theoretical results were obtained.
出处 《南京工业大学学报(自然科学版)》 CAS 2006年第5期33-36,共4页 Journal of Nanjing Tech University(Natural Science Edition)
基金 航空基础科学基金(97J52091)
关键词 路径长度受限 随机需求 VRP 节省算法 服务失败 策略分析 path length constraint stochastic demand vehicle routing problem saving-algorithm routing failure strategy-analysis
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参考文献6

  • 1Clarke G,Wright J.Scheduling of vehicles from a central depot to a number of delivery points[J].Operations Research,1964,12:568-581.
  • 2Fisher M,Jaikumar R.A generalized assignment heuristic for vehicle routing[J].Networks,1981,11:109-124.
  • 3Bodin L,Golden B.Classification in vehicle routing and scheduling[J].Networks,1981,11:97-108.
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  • 5刘浩,钱小燕.路径长度受限的随机需求VRP的模型和算法[J].南京工业大学学报(自然科学版),2005,27(3):36-38. 被引量:2
  • 6Tedorovic D,Pavkovic G.A simulated annealing technique approach to the vehicle routing in the case of stochastic demand[J].Transportation Planning and Technology,1992,16:261-273.

二级参考文献7

  • 1Clarke G, Wright J. Scheduling of vehicles from a central depot to a number of delivery points[J].Operations Research,1964,12:568-581.
  • 2Fisher M,Jaikumar R.A generalized assignment heuristic for vehide routing[J].Networks,1981,11:109-124.
  • 3Bodin L,Golden B. Classification in vehicle routing and scheduling [J].Networks,1981,11:97-108.
  • 4Bodin L,Golden B ,Assad A ,et al. Routing and scheduling of vehicles and crews:The state of the art[J].Computers and Operations Research. 1983.10:169-211.
  • 5Dror M, Trudean P. Stochastic vehicle routing with modified saving algorithms[J].European Journal of Operation Research,1986,23:228-235.
  • 6Dror M, Laporte G, Trudeau P. Vehicle routing with stochastic demands:Properties and frame solution frameworks[J]. Transportation Science, 1989,23:166-176.
  • 7Tedorovic D, Pavkovic G.A simulated annealing technique approach to the vehicle routing in the case of stochastic demand [J].Transportation Planning and Technology,1992,16:261-273.

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