Model parameters identification of the PEMFCs using an improved design of Crow Search Algorithm
Authors:
- Fude DuanFDFude Duan
- Fei SongFSFei Song
- Sainan ChenSCSainan Chen
- Majid KhayatnezhadMKMajid Khayatnezhad
- Noradin GhadimiNGNoradin Ghadimi
- 24 August 2022
- journal article
- retracted article
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 47 (79) , 33839-33849
Abstract
No abstract availableKeywords
This publication has 39 references indexed in Scilit:
- Application of mutation operators to flower pollination algorithmExpert Systems with Applications, 2017
- Feature selection via a novel chaotic crow search algorithmNeural Computing and Applications, 2017
- Planning in Microgrids With Conservation of Voltage ReductionIEEE Systems Journal, 2016
- Multi-Verse Optimizer: a nature-inspired algorithm for global optimizationNeural Computing and Applications, 2015
- MDE with Considered Different Load Scenarios for Solving Optimal Location and Sizing of Shunt CapacitorsNational Academy Science Letters, 2014
- Optimal location and optimized parameters for robust power system stabilizer using honeybee mating optimizationComplexity, 2014
- A new hybrid algorithm based on optimal fuzzy controller in multimachine power systemComplexity, 2014
- An adaptive neuro‐fuzzy inference system for islanding detection in wind turbine as distributed generationComplexity, 2014
- Effect of process parameters on the dynamic behavior of polymer electrolyte membrane fuel cells for electric vehicle applicationsAin Shams Engineering Journal, 2014
- An Electrochemical-Based Fuel-Cell Model Suitable for Electrical Engineering Automation ApproachIEEE Transactions on Industrial Electronics, 2004