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典型文献
Adaptive Simplified Chicken Swarm Optimiza-tion Based on Inverted S-Shaped Inertia Weight
文献摘要:
Considering the issues of premature con-vergence and low solution accuracy in solving high-dimen-sional problems with the basic chicken swarm optimiza-tion algorithm,an adaptive simplified chicken swarm op-timization algorithm based on inverted S-shaped inertia weight(ASCSO-S)is proposed.Firstly,a simplified chick-en swarm optimization algorithm is presented by remov-ing all the chicks from the chicken swarm.Secondly,an inverted S-shaped inertia weight is designed and intro-duced into the updating process of the roosters and hens to dynamically adjust their moving step size and thus to improve the convergence speed and solution accuracy of the algorithm.Thirdly,in order to enhance the explora-tion ability of the algorithm,an adaptive updating strategy is added to the updating process of the hens.Simulation experiments on 21 classical test functions show that ASCSO-S is superior to the other comparison al-gorithms in terms of convergence speed,solution accur-acy,and solution stability.In addition,ASCSO-S is ap-plied to the parameter estimation of Richards model,and the test results indicate that ASCSO-S has the best fit-ting results compared with other three algorithms.
文献关键词:
作者姓名:
GU Yanchun;LU Haiyan;XIANG Lei;SHEN Wanqiang
作者机构:
School of Science,Jiangnan University,Wuxi 214122,China;Wuxi Engineering Technology Research Center for Biological Computing,Jiangnan University,Wuxi 214122,China
引用格式:
[1]GU Yanchun;LU Haiyan;XIANG Lei;SHEN Wanqiang-.Adaptive Simplified Chicken Swarm Optimiza-tion Based on Inverted S-Shaped Inertia Weight)[J].电子学报(英文),2022(02):367-386
A类:
ASCSO,remov,roosters,accur
B类:
Adaptive,Simplified,Chicken,Swarm,Optimiza,Based,Inverted,Shaped,Inertia,Weight,Considering,issues,premature,low,solution,accuracy,solving,high,dimen,sional,problems,basic,chicken,swarm,adaptive,simplified,inverted,shaped,inertia,weight,proposed,Firstly,optimization,presented,by,chicks,from,Secondly,designed,intro,duced,into,updating,process,hens,dynamically,adjust,their,moving,step,size,thus,improve,convergence,speed,Thirdly,order,enhance,explora,strategy,added,Simulation,experiments,classical,test,functions,show,that,superior,other,comparison,terms,stability,addition,plied,parameter,estimation,Richards,model,results,indicate,has,best,fit,compared,three,algorithms
AB值:
0.492629
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