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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-02-01
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Series: | IET Renewable Power Generation |
Online Access: | https://doi.org/10.1049/rpg2.12621 |