改进的粒子群算法在商业网点选址中的应用

Application of Improved Particle Swarm Algorithm in Commercial Network Location

针对当前商业网点选址问题,在采用GIS空间分析得到的粗略范围的基础上,构建了一个基于K-medoids聚类的粒子对算法模型;通过ArcObjects二次开发,将其应用于商业网点选址中的准确选址;并通过案例说明了方法的可行性和有效性。

In view of the current commercial network location problem,by using GIS spatial analysis to get the rough range basis,this paper built a clustering Particle-Pair(PPO) model based on K-medoids.Through the ArcObjects second development,this model was applied to a commercial network location accurate location.The case shows that the method is feasible and effective.