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改进粒子群算法在多目标物流选址中的应用 被引量:3
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作者 龙圣杰 刘衍民 曾庆雨 《武汉理工大学学报(交通科学与工程版)》 2017年第3期369-374,共6页
考虑到物流选址规划对系统运营的影响,以物流运营成本最小及服务满意度最大为目标,构建工厂-物流中心-分销商三级物流选址规划模型.为了避免粒子群算法容易早熟和容易落入局部最优的缺陷,引入合作学习思想,针对多目标选址规划问题,用多... 考虑到物流选址规划对系统运营的影响,以物流运营成本最小及服务满意度最大为目标,构建工厂-物流中心-分销商三级物流选址规划模型.为了避免粒子群算法容易早熟和容易落入局部最优的缺陷,引入合作学习思想,针对多目标选址规划问题,用多目标合作粒子群算法(MCPSO)求多目标离散型物流选址规划模型的Pareto解.通过对实例进行仿真模拟,求解模型的选址-分派方案,并结合灵敏度分析,证明所提出算法的有效性. 展开更多
关键词 物流选址规划 多目标 合作学习 粒子群算法 仿真
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Comprehensive decision-making method for optimal location of logistics hubs
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作者 刘南 陈远高 李玉民 《Journal of Southeast University(English Edition)》 EI CAS 2007年第S1期71-75,共5页
A mathematical optimal model is developed to address the problem of logistics hubs location.The method integrates nonlinear programming models and fuzzy comprehensive evaluation,and handles both quantitative and quali... A mathematical optimal model is developed to address the problem of logistics hubs location.The method integrates nonlinear programming models and fuzzy comprehensive evaluation,and handles both quantitative and qualitative factors that influence the location of logistics hubs.A mathematical programming model is used to find the optimal candidate sites of the logistics hub based on profit-maximizing criteria.Then a fuzzy comprehensive evaluation method is adopted to determine the final optimal location of those candidate sites by taking account of criteria including stability of policy environment,convenience of transportation(e.g.,easy access to highways/expressways,etc.),rationality of economy,competition and sustainability.Finally,the methodology is demonstrated by a case study of the Transfar Logistics Base in Zhejiang Province.The results verify the method application for logistics hub locations and show how to locate a logistics hub in practice from the case of Transfar Logistics Base. 展开更多
关键词 LOGISTICS logistics hubs LOCATION nonlinear programming fuzzy evaluation
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