Optimizing PEMFC model parameters using ant lion optimizer and dragonfly algorithm: A comparative study

Zainuddin Mat Isa (Universiti Malaysia Perlis)
Norkharziana Mohd Nayan (Universiti Malaysia Perlis)
Mohd Hafiz Arshad (Universiti Malaysia Perlis)
Nor Ashbahani Mohamad Kajaan (Universiti Malaysia Perlis)

International Journal of Electrical and Computer Engineering
Vol 9, No 6: December 2019

This paper introduced two optimization algorithms which are Ant Lion Optimizer (ALO) and Dragonfly Algorithm (DA) for extracting the Proton Exchange Membrane Fuel Cell (PEMFC) polarization curve parameters. The results produced by both algorithms are being compared to observe their performance. As a results, the ALO shows great performance compared to DA. Furthermore, these results also being compared with the results of the other reported metaheuristics algorithms. The ALO and DA presented competitive results.