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一种改进的粒子群优化算法
引用本文:罗平,姚立海,杨仕友,倪光正,唐跃进.一种改进的粒子群优化算法[J].江南大学学报(自然科学版),2007,6(5):505-509.
作者姓名:罗平  姚立海  杨仕友  倪光正  唐跃进
作者单位:1. 浙江大学,电气工程学院,浙江,杭州,310027;杭州电子科技大学自动化学院,浙江,杭州,310018
2. 浙江大学,城市学院,浙江,杭州,310015
3. 浙江大学,电气工程学院,浙江,杭州,310027
4. 华中科技大学,超导电力科学技术研究与发展中心,湖北,武汉,430074
基金项目:国家863计划项目(2002AA306331)
摘    要:针对粒子群优化算法早熟收敛现象,提出了一种改进的粒子群优化算法.该算法将模拟退火算法的"上山性"引入粒子群算法中,同时为了增加种群的多样性,将交叉和变异算子也结合进去,形成了一种新的改进粒子群算法.比较了高斯变异和柯西变异这两种变异算子对改进算法的影响.改进算法对典型函数的优化计算结果表明,与基本粒子群算法相比,改进算法能够更加快速有效的收敛到全局最优解,而且采用柯西变异算子的改进算法的效果比采用高斯变异算子的效果要好.

关 键 词:粒子群优化算法  柯西变异  高斯变异
文章编号:1671-7147(2007)05-0505-05
收稿时间:2006-03-03
修稿时间:2006-04-10

An Improved Particle Swarm Optimization Algorithm
LUO Ping,YAO Li-hai,YANG Shi-you,NI Guang-zheng,TANG Yue-jin.An Improved Particle Swarm Optimization Algorithm[J].Journal of Southern Yangtze University:Natural Science Edition,2007,6(5):505-509.
Authors:LUO Ping  YAO Li-hai  YANG Shi-you  NI Guang-zheng  TANG Yue-jin
Abstract:To solve the premature convergence problem of the Particle Swarm Optimization(PSO),an improved PSO method was proposed.In the improved method,the "uphill" movement of SA was introduced and the operations of crossover and mutation was used to keep the diversity of the population.The effects of Gauss mutation operator and the Cauchy mutation operator on the improved algorithm were compared.The optimal results on benchmark functions demonstrate that the proposed method can get the global optimal result more quicky and more efficiently than the basic PSO,and the improved algorithm which use Cauchy mutation operator outperforms the algorithm which use Guass mutation operator regarding the quality of solutions on benchmark functions.
Keywords:particle swarm optimization  cauchy mutation  gauss mutation
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