Optimizing PEMFC model parameters using ant lion optimizer and dragonfly algorithm: A comparative study
| Autor: | Mohd Hafiz Arshad, Norkharziana Mohd Nayan, Nor Ashbahani Mohamad Kajaan, Zainuddin Mat Isa |
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| Rok vydání: | 2019 |
| Předmět: |
Ant lion optimizer
General Computer Science PEMFC model Computer science 020209 energy Proton exchange membrane fuel cell Model parameters 02 engineering and technology 021001 nanoscience & nanotechnology Dragonfly algorithm Metaheuristic algorithm 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering 0210 nano-technology Optimizing PEMFC parameters Metaheuristic Algorithm |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 9:5295 |
| ISSN: | 2088-8708 |
| DOI: | 10.11591/ijece.v9i6.pp5295-5303 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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