计算机科学 ›› 2014, Vol. 41 ›› Issue (8): 274-277.doi: 10.11896/j.issn.1002-137X.2014.08.057

• 人工智能 • 上一篇    下一篇

分时段考虑的需求不确定车辆调度问题

戎丽霞   

  1. 德州学院信息管理学院 德州253023 天津大学管理与经济学部 天津300072
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受山东省自然科学基金项目(ZR2010BL009)资助

Sub-period Considering Vehicle Scheduling Problem with Uncertain Demands

RONG Li-xia   

  • Online:2018-11-14 Published:2018-11-14

摘要: 考虑到不同时段交通状况对车辆运输的影响,将一天的交通状况根据车流量分为畅通、正常和高峰3个时段,依据不同时段车辆的通行情况,基于不确定理论建立了具有机会约束的不确定需求车辆调度模型。为了求解需求的不确定测度,将不确定模拟和遗传算法相结合,构建了混合遗传算法来对模型进行求解。最后通过实验,分析交通状况分为3个时段对模型解的影响,同时考虑到车辆装载量不超过装载能力的置信水平的取值以及顾客满意度的需求,对实验结果进行了比较分析。

关键词: 不确定变量,不确定模拟,车辆调度模型,混合遗传算法

Abstract: Considering the impact of different traffic conditions on transport,the daily traffic condition was divided into flow,normal and peak according to the number of vehicles.According to the speed of the three periods,an uncertain vehicle routing model was presented with chance-constrained based on uncertainty theory.In order to solve the uncertain measure of demands,a hybrid intelligent algorithm with uncertain simulation and genetic algorithm was provided.At last,a numerical example was provided.In the example,we analyzed the model solutions based on dividing of traffic periods,and the solutions of different coefficient value according to customer satisfaction.

Key words: Uncertain variable,Uncertain simulation,Vehicle routing model,Hybrid genetic algorithm

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