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基于改进蚁群算法的多物流中转站选址规划
引用本文:王勇,张永,毛海军,杭文.基于改进蚁群算法的多物流中转站选址规划[J].公路交通科技,2011,28(8):140-146.
作者姓名:王勇  张永  毛海军  杭文
作者单位:东南大学交通学院,江苏南京,210096
基金项目:国家自然科学基金项目(50575043,70902029); 教育部博士点基金项目(20090092120045,200802861017)
摘    要:根据多物流中转站选址问题的特点,应用遗传算法和分配算法将大规模客户点划分为不同的配送单元,建立了包含配送中心和中转站的运营成本以及配送中心和中转站的大小车维护费用的数学模型,其中,运营成本包括车辆的运输成本和中转站的建造成本.提出了一种解决多物流中转站选址问题的改进蚁群算法,由于该算法在评价函数中隐含加入了约束条件,并...

关 键 词:运输经济  多物流中转站  选址  分配算法  蚁群算法  运营成本  仿真试验

Multi-logistics Transfer Stations Allocation Based on Improved Ant Colony Optimization Algorithm
WANG Yong,ZHANG Yong,MAO Haijun,HANG Wen.Multi-logistics Transfer Stations Allocation Based on Improved Ant Colony Optimization Algorithm[J].Journal of Highway and Transportation Research and Development,2011,28(8):140-146.
Authors:WANG Yong  ZHANG Yong  MAO Haijun  HANG Wen
Institution:WANG Yong,ZHANG Yong,MAO Haijun,HANG Wen(School of Transportation,Southeast University,Nanjing Jiangsu 210096,China)
Abstract:According to the characters of multi-logistics transfer stations allocation,genetic algorithm(GA) and assignment algorithm were applied to divide large-scale customers into differents distribution units.The mathematical models containing the operating cost(including vehicle transport cost and transfer stations construction cost) and vehicle maintenance cost of distribution center and transfer stations were established.An improved ant colony optimization algorithm for multi-logistics transfer stations alloca...
Keywords:transport economics  multi-logistics transfer station  allocation  assignment algorithm  ant colony algorithm  operating cost  simulation experiment  
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