Optimal identification of model parameters for PEMFCs using neoteric metaheuristic methods

Abstract In this paper, the neoteric metaheuristic methods of artificial ecosystem‐based optimization (AEO), Coot Bird‐based optimization (COOT), Equilibrium optimizer (EQO), Runge–Kutta Method (RUN), Hunger games search (HGS), and Weighted Mean of Vectors (INFO) have been applied and evaluated to d...

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Bibliographic Details
Main Authors: Ahmed A. Zaki Diab, Ashraf M. Abdelhamid
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:IET Renewable Power Generation
Online Access:https://doi.org/10.1049/rpg2.12621