Uniform Initialization in Response Space for PSO and its Applications
作者：
Highlights：
• An initialization method with uninformative prior of fitting parameters is proposed.
• The method initializes particle positions evenly distributed in the response space.
• The method makes the effect of particle velocity uniform in the response space.
• The method is conductive to optimization and of high efficiency.
• Experiments show superiority of the method in parameter estimation for polymer models.
摘要
•An initialization method with uninformative prior of fitting parameters is proposed.•The method initializes particle positions evenly distributed in the response space.•The method makes the effect of particle velocity uniform in the response space.•The method is conductive to optimization and of high efficiency.•Experiments show superiority of the method in parameter estimation for polymer models.
论文关键词：Initialization,particle swarm optimization,polymer,parameter estimation,response space,uninformative prior
论文评审过程：Received 6 February 2021, Revised 17 May 2022, Accepted 20 June 2022, Available online 28 June 2022, Version of Record 28 June 2022.
论文官网地址：https://doi.org/10.1016/j.amc.2022.127351
