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.
作者
杜玉平
DU Yuping(Department of Mathematics and Computer,Shuozhou Teachers College,Shuozhou 036000,China)
出处
《太原师范学院学报（自然科学版）》
2019年第2期12-15,共4页
Journal of Taiyuan Normal University:Natural Science Edition
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)
关键词
粒子群
优化
增长因子
particle swarm
optimization
growth factor
