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启发式算法在非满载货物运输优化调度中的应用 被引量:2

The application of heuristics algorithm in non-fully loaded freight transportation optimization scheduling
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摘要 启发式算法是通过对过去经验的归纳推理以及实例分析来解决问题的。根据C -W启发式算法灵活、可分析性和交互性好的特点 ,以TSP的C -W算法为基础 ,提出了解决非满载货物运输优化调度问题的C -W启发式算法 。 Heuristic algorithm solves problems through induction, reasoning and instance analysis of the past experiences. According to the characteristic of the heuristic algorithm that is flexible, analytic and interactive, this paper, which is based on C-W algorithm of TSP, proposes the C-W heuristic algorithm to solve the problem of non-fully loaded freight transportation optimization scheduling. This kind of algorithm can figure out the economic value of expense that meets the need of freight transportation between the dot pair.
出处 《煤矿机械》 北大核心 2004年第11期7-8,共2页 Coal Mine Machinery
关键词 C—W启发式算法 优化 调度 点对 C-W heuristic algorithm optimization scheduling dot pair
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参考文献3

  • 1Alex Van Breedom, Improvement Heuristics for the Vehicle Routing Problem Based on Simulation Annealing[J]. European Journal of Operational Research, 1995, (1):86.
  • 2Altinkemer K., Cavish B., Parallel Savings Based Heuristics for the Delivery Problem[J]. Operation. Research, 1991, (39):465-469.
  • 3丁立言 张铎.物流系统工程[M].北京:清华大学出版社,1999..

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