改进的粒子群优化算法在物流配送中的应用  

Appliction of Improved Particle Swarm Optimization Algorithm in Logistics Distribution

作　　者：李君[1] 梁昔明[1] 张克[1] 

机构地区：[1]北京建筑大学理学院,北京100044

出　　处：《北京建筑大学学报》2016年第4期58-64,共7页Journal of Beijing University of Civil Engineering and Architecture

基　　金：国家自然科学基金项目(61463009);北京市自然科学基金项目(4122022);中央支持地方科研创新团队(PXM2013_014210_000173)

摘　　要：选址问题的优化模型一般是多目标约束优化模型,综合考虑物流成本和物流服务能力,以物流成本最小化和物流服务能力最大化为目标,构建一个多目标优化选址模型,通过添加参数和运用约束处理方法,将选址问题化为单目标约束优化问题,并利用嵌入最速下降法的改进粒子群优化算法ZK_PSO_SD算法进行求解,所得数值分析和对比的结果表明,所建立的选址模型具有很好的实用性.Location problem of the optimization model is generally a multi-objective constrained optimization model, which is considered of the goal that has the logistics cost minimization and logistics service capability maximization, and then building a multi-objective optimal location model. By adding parameters and using the constraint handling method, the location problem is changed into a single objective constrained optimization problem, and the improved particle optimization algorithm based on the steepest method is used to solve the problem of ZK-PSO-SD algorithm. The results of numerical analysis and comparison show that the established location model has good practicability.

关 键 词：粒子群优化算法 最速下降法 物流服务能力 成本最小化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]