基于改进QPSO算法的物流运输路径问题研究

基于改进QPSO算法的物流运输路径问题研究
高晓巍
【期刊名称】《计算机仿真》
【年(卷),期】2013(030)008
【摘要】Traditional logistics transportation routing problem of research on the model is singleness,and is difficult to meet the actual needs of logistics.The path search algorithm of global search ability is weak,and easy to fall into local extremum points.To effectively allocate
vehicles,reduce logistics cost,and improve the competitive ability of enterprises with logistics transportation cost minimization and customer satisfaction maximization as the aim,this paper transformed multi-objective optimization model into single objective optimization model with the aid of weight coefficient transform method and constructed an improved QPSO algorithm to solve the problem.The simulation experiment results show that the improved QPSO algorithm shows better stability and convergence speed in solving the problem of logistics transportation routing of multiple distribution center and many vehicles,and has obvious advantages over QPSO algorithm.%传统的物流运输路径问题研究在模型建立上比较单一,难以满足物流运输的实际需要；路径搜索算法的全局搜索能力弱,并容易陷入局部极值点.为了有效的进行车辆调配,降低物流成本,提高企业的竞争能力,提出以物流运输成本最小化与顾客满意程度最大化为目标,借助权重系数变换法将多目标优化模型转换成单目标优化模型,并构造改进的QPSO算法进行求解.仿真结果
表明,改进的QPSO算法在求解多配置中心多车辆的物流运输路径问题中呈现出了较好的稳定性与收敛速度,为运输路径优化提供了参考.
【总页数】4页(P169-172)
【作者】高晓巍
【作者单位】齐齐哈尔大学理学院,黑龙江齐齐哈尔161006
【正文语种】中文
【中图分类】N945.12
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