improved fluid search optimization algorithm for optimal parameter identification of the undetermined parameters of the PEMFCs … chaos-based fluid search optimization algorithm is successfully used to extract the parameters of a PEMFC model precisely. … algorithm is considered the cost function. Two empirical PEMFC models including BCS 500-W and NedStack PS6 are employed and …

improving the efficiency of the proposed LQR controller, a newly developed version of the whale optimization algorithm, called … improved chaotic whale optimization algorithm is proposed. Simulation results of the proposed system are compared with …

Cells (PEMFCs). The method uses a novel modified version of the Moth Search Algorithm, called Converged Moth Search … Algorithm (CMSA) to minimize the total of the squared deviations (TSD) between the output voltage and the experimental data. The …

penguin optimization (IEPO) algorithm for optimizing the system efficiency. After simulations, the system is analyzed in terms … optimization algorithm for showing the superiority of the algorithm. … compressor, and a humidifier. This study presents an improved version of a new optimization technique called improved emperor …

purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification … different conditions. Simulation results are compared with several optimization algorithms and show the algorithm’s superiority … of the PEMFC stacks. The new algorithm uses the Lévy flight mechanism to give faster convergence rates. The sum of the …

) algorithm, converged krill herd optimization algorithm (CKH). Simulation results are analyzed based on the average power demand … state-of-charge limit The optimization problem has been solved based on a new improved model of the Krill Herd (KH …, speed demand of the locomotive, and the locomotive slope. The results of the presented CKH algorithm have been compared with …

cost of the hybrid system. A new model of the Elephant Herding Optimization (BEHO) Algorithm is utilized to solve the multi …In this paper, a multi-objective optimization method has been established on a hybrid PV, wind, fuel cell, and battery … system. The optimization is based on three models including energy supply reliability, electricity efficiency, and capital …

determined using an offline particle swarm optimization algorithm for various operation conditions. In the proposed real …