Publiora

Menghubungkan ke Publiora...

Publiora

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

Isa, Zainuddin MatNayan, Norkharziana MohdArshad, Mohd HafizKajaan, Nor Ashbahani Mohamad
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Desember 2019
DOI10.11591/ijece.v9i6.pp5295-5303

Abstrak

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.

Kata Kunci

ElectricalControlOptimizationOptimizing PEMFC ParametersPEMFC ModelAnt Lion OptimizerDragonfly AlgorithmMetaheuristic Algorithm

Cari jurnal yang tepat untuk naskah Anda

MatchMind AI mencocokkan abstrak naskah Anda dengan ribuan jurnal terakreditasi dan menampilkan rekomendasi terbaik beserta alasannya.

Coba MatchMind

Lihat profil lengkap jurnal ini

Waktu review, biaya APC, statistik sitasi, indeksasi Scopus, dan banyak lagi.

Buka International Journal of Electrical and Computer Engineering (IJECE)

Artikel ini juga tersedia di situs resmi jurnal.

Optimizing PEMFC model parameters using ant lion optimizer and dragonfly algorithm: A comparative study | International Journal of Electrical and Computer Engineering (IJECE) | Publiora