一种基于增长因子的粒子群算法

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英文篇名：A Particle Swarm Optimization Algorithm Based on Growth Operator 作者：杜玉平 英文作者：DU Yuping;Department of Mathematics and Computer,Shuozhou Teachers College; 关键词：粒子群 ; 优化 ; 增长因子 英文关键词：particle swarm;;optimization;;growth factor 中文刊名：SJYX 英文刊名：Journal of Taiyuan Normal University(Natural Science Edition) 机构：山西朔州师范高等专科学校数学与计算机系; 出版日期：2019-06-25 出版单位：太原师范学院学报(自然科学版) 年：2019 期：v.18;No.68 基金：2016年度山西省高校科技创新项目:几类病毒感染的动力学模型的研究(2016106) 语种：中文; 页：SJYX201902004 页数：4 CN：02 ISSN：14-1304/N 分类号：16-19

摘要

为提高PSO算法解的精度和收敛速度,结合原始PSO算法,引入增长因子,提出一种基于增长因子的PSO算法.通过多个多峰函数的验证,新算法提高了收敛进度和寻优成功率,全局优化性能强.
        In order to improve the accuracy and convergence speed of PSO algorithm.Based on the original PSO algorithm.To introduce the growth factor and proposes PSO algorithm based on growth factor is proposed.Through the verification of several performance functions,the new algorithm improves the convergence speed and the accuracy of the solution,and has strong global optimization capability.

引文

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