Bi-subgroup optimization algorithm for parameter estimation of a PEMFC model

作者：

Highlights：

• Development of novel bi-subgroup algorithm named BSOA.

• BSOA uses two hierarchical subpopulations to perform collaborative search.

• Constructing the Markov model of BSOA to prove its convergence.

• Validating the effectiveness of BSOA through the popular PEMFC models.

摘要

•Development of novel bi-subgroup algorithm named BSOA.•BSOA uses two hierarchical subpopulations to perform collaborative search.•Constructing the Markov model of BSOA to prove its convergence.•Validating the effectiveness of BSOA through the popular PEMFC models.

论文关键词：Parameter estimation,Swarm intelligence,Convergence analysis,Bi-subgroup optimization,PEMFC model

论文评审过程：Received 8 April 2021, Revised 9 August 2021, Accepted 3 February 2022, Available online 19 February 2022, Version of Record 21 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116646