基于粒子群优化的投影寻踪聚类模型及其应用

投影寻踪聚类分析是根据设计的投影指标函数,并在相关约束条件下进行问题优化分析的过程.给出了用于求解投影指标函数的粒子群算法,并将构造的模型应用于森林承载力评价.仿真实验结果表明:与基于遗传算法优化的模型比较,基于粒子群优化的模型简单、容易实现并且没有许多参数需要调整;在应用上,基于粒子群优化的模型可获得更优的解,并可预计模型在森林承载力评价中具有重要的应用价值.

Projection pursuit cluster model based on particle swarm optimization and its application

Based on projection index function,projection pursuit cluster analyis is a process to analyze optimization problems under certain constrain conditions.This paper employs Particle Swarm Optimization(PSO) to solve projection index function,and constructs a projection pursuit cluster model to evaluate forest carrying capacity.Simulation results show that this PSO-based model is simpler and easier to realize with less parameters,compared with GAbased model.Moreover,the proposed model can give optimal solutions ...