南水北调与水利科技2018，Vol.16Issue(1)：69-74,208,7.DOI:10.13476/j.cnki.nsbdqk.20180011
粒子群算法参数设置对新安江模型模拟结果的影响研究
Influence of parameter settings in PSO Algorithm on simulation results of Xin′anjiang model
摘要
Abstract
The reasonable parameter settings in the particle swarm optimization algorithm can improve the optimization efficiency and avoid falling into the local optimum.However,common parameter settings are not universally applicable to specific optimi-zation problems,such as the simulation of Xin′anjiang model.In this study,we conducted orthogonal tests to study the influence of 5 particle swarm parameters on the simulation results of Xin′anjiang model.Through the analysis of the test results,we re-vealed the influence of parameters on the performance of PSO algorithm and obtained the optimum parameters(pop=80,w=linear regression from 1.3 to 0.4,c1=1.85,c2=2.5,m=0.05).Through range analysis and variance analysis,we found that the parameters pop and w are highly significant to the simulation results,and the other three parameters are not significant to the simulation results.The different PSO parameter sets were applied to Xin′anjiang model simulation,and proved that the rea-sonable PSO algorithm parameter setting can effectively improve the simulation accuracy of Xin′anjiang model.Through the trend analysis of each factor,we obtained the relationship between the change trend of the factor value and the change trend of the model result.The method presented in this paper can provide reference for finding the parameters of PSO algorithm in a spe-cific application scenario.关键词
粒子群算法/新安江模型/参数优化/参数设置/正交试验Key words
particle swarm optimization algorithm/Xin′anjiang model/parameter optimization/parameter setting/orthogonal test分类
建筑与水利引用本文复制引用
刘欣蔚,王浩,雷晓辉,廖卫红,王明娜,王维平,张苹苹..粒子群算法参数设置对新安江模型模拟结果的影响研究[J].南水北调与水利科技,2018,16(1):69-74,208,7.基金项目
"十三五"国家重点研发计划(2016YFC0402204)"13th Five-Year"National Key Development Program(2016YFC0402204) （2016YFC0402204）
