首页> 中文期刊> 《广东轻工职业技术学院学报》 >微粒群算法在物流选址中的应用

微粒群算法在物流选址中的应用

         

摘要

物流运营成本是企业利润来源的一个重要方面,降低物流运营成本是现代企业获取利润的一个重要途径。而物流选址在物流成本控制中作用十分关键,通过优化算法,对物流选址进行优化就显得十分必要。微粒群优化算法由于其特有的优点,在解决优化问题中有比较好的效果,在物流选址中引入微粒群优化算法,可以为合理选择物流配送中心地址提供可靠的决策依据。本文在对微粒群优化算法进行介绍的基础上,就其在物流选址中的实际应用进行简要的论述。%Logistics operation cost is an important source of corporate profit, Reduce logistics operation cost is an important way of modern enterprise profit. Location and logistics in the logistics cost control is very important, It is necessary to optimize the logistics location. Through the optimization algorithm. Particle swarm optimization algorithm due to its unique advantages, Have good effects in solving optimization problems, Particle swarm optimization algorithm is introduced in the logistics location, can provide reliable decision basis for the rational selection of logistics distribution center , Based on particle swarm optimization algorithm is introduced on the basis of, give a briefly discussed. On its practical application in selecting position of logistics.

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