摘要
基于粒子群优化的原理,利用标准测试函数对粒子群算法的参数设计进行实验分析,依据函数特性进行初步分类,揭示不同类型优化问题中加速系数与惯性权重的相互关系及其设计规律。该项研究成果为粒子群算法的理论研究提供了实验依据,并为算法的实际应用创造了有利条件。
Based on Particle Swarm Optimization（PSO）, effects of the major parameters are studied and the standard test functions are divided into two kinds. The setting of the acceleration coefficient for different functions and its cooperation with inertia weight in PSO algorithm are systematically investigated. It provides the evidence for further research and much help for application of PSO algorithm.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第4期183-186,共4页
Computer Engineering
关键词
粒子群优化
加速系数
惯性权重
Particle Swarm Optimization（PSO）
acceleration coefficient
inertia weight
