粒子群优化的模糊特征  

Brief introduction to fuzzy characteristics of particle swarm optimization

作　　者：冯纪强[1] 温雅[1] 

机构地区：[1]深圳大学智能计算科学研究所,广东深圳518060

出　　处：《现代电子技术》2012年第23期129-131,共3页Modern Electronics Technique

基　　金：深圳大学科研基金资助面上项目(201214)

摘　　要：粒子群优化是一种典型的群智能优化技术,在不同的工程领域得到了广泛应用。概述了粒子群优化理论研究进展,从粒子群优化方法本身、优化设计、工程对象属性和模糊建模优势等方面,探讨了粒子群优化的模糊特征。Particle swarm optimization is a typical population-based optimization method, whi,.＇h has been applied in vari ous areas. The theoretical research development of particle swarm optimization is summarized. The fuzzy characteristics of particle swarm optimization is discussed from four different aspects, such as the native characteristics of algorithm, its optimi- zation process, its research object properties, and the advantages of fuzzy modeling.

关 键 词：群智能 粒子群优化 模糊建模 隶属度函数 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]