基于群体智能聚类算法的电梯交通流分析  

An algorithm for elevator traffic flow analysis based on swarm intelligence clustering

作　　者：沈亮 

机构地区：[1]炬力集成电路设计有限公司,广东珠海519000

出　　处：《陕西科技大学学报（自然科学版）》2012年第6期118-121,共4页Journal of Shaanxi University of Science & Technology

摘　　要：提出了一种基于群体智能的电梯交通流分析方法,该算法将电梯交通流模式投影于二维平面上,然后依据群体智能聚类,实现电梯交通流的自组织聚类分析.为了提高群体智能聚类算法的运行效率,采用了主成分分析方法改善模式投影时的随机性,同时在聚类过程中引入密度引导策略减小分类错误率和运行时间.仿真结果表明,群体智能聚类算法能对电梯交通流数据进行有效的聚类分析,具有较好的自组织聚类特性.An algorithm for elevator traffic flow analysis based on swarm intelligence cluste- ring was proposed. Firstly, the elevator traffic flow data are mapped into a plane, and then analyzed by the clustering algorithm based on the swarm intelligence. To improve the run- ning efficiency of the algorithm, principal component analysis was utilized to reduce the mapping randomicity of elevator traffic flow data, and a density guiding policy was intro- duced to reduce the classification error rate and running time during clustering process. Sim- ulation shows that the proposed method can cluster the elevator traffic flow data effectively with good self-organizing characters.

关 键 词：电梯交通流 聚类分析 群体智能 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]