摘要
经济的发展和公路运输的畅通,使零担物流得到迅猛发展.本文针对大规模零担物流网络优化问题,构建了基于双层规划的大规模零担物流轴辐式网络模型,并基于进化博弈和多目标优化思想,设计分层遗传算法来求解模型,最后以算例进行模型及算法验证,得出大规模零担物流网络的枢纽选址、流量分配等决策.灵敏度分析表明节点间流量、单位运输成本等参数会对零担物流网络产生不同程度的影响,增量优化表明当货流量变化时,对建设成本权重较小的情景,决策者宜优先采取改变枢纽点数量来满足需求,而权重系数较大时则应当考虑改变原有枢纽点能级来应对变化.
The development of economy and smoothing of highway transportation make the less-than-truckload（LTL）logistics grow rapidly.In this paper,facing the largescale LTL logistics network optimization problem,an optimization model is constructed based on bi-level programming for large-scale LTL logistics hub-and-spoke network.Based on the evolutionary game theory and multiple objective optimization,a hierarchical genetic algorithm is designed to solve the model.Then a numerical example is employed to validate the model and the algorithm.The hub location and flow allocation decisions for large-scale LTL logistics network are obtained.Sensitivity analysis shows that the flow and unit transportation cost have different influence on LTL logistics network.Incremental optimization suggests that changing hubs is the prior choice in the case of smallconstruction costs weigh,while greater weight requires adjustment on the capacities of hubs.
出处
《华中师范大学学报（自然科学版）》
CAS
北大核心
2016年第4期530-535,共6页
Journal of Central China Normal University：Natural Sciences
基金
教育部博士点基金项目(20123121110004)
上海海事大学研究生创新基金资助项目(2013ycx061)
上海海事大学优秀博士学位论文培育项目(2014bxlp002)
关键词
零担物流
轴辐式网络
双层规划
分层遗传算法
决策优化
less-than-truckload logistics
hub-and-spoke network
bi-level programming
hierarchical genetic algorithm
optimization decision
