摘要
分析标准微粒群算法的性能,通过引入支持向量数据域描述方法,提出一种改进微粒群算法,保证进化过程的多样性,增强了算法的全局寻优能力。仿真结果表明,改进的算法得到了较好的效果。
Behavior of standard particle swarm optimization algorithm is analyzed. By using the support vector domain description, a modified PSO algorithm is presented. Diversity of particles ,is assured. Ability of global searching is improved. Simulation indicates that the modified PSO algorithm can get better performance.
出处
《计算机与现代化》
2009年第4期55-58,共4页
Computer and Modernization
关键词
微粒群
多样性
支持向量描述
particle swarm optimization
diversity
support vector domain description
