Parameter Optimization of PEMFC with Genetic Algorithm
Puja Bhatt (),
Neha Agarwal () and
Uday K. Chakraborty
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Puja Bhatt: Department of Mathematics and Computer Science, University of Missouri, Saint Louis, MO 63121, USA
Neha Agarwal: Department of Mathematics and Computer Science, University of Missouri, Saint Louis, MO 63121, USA
Uday K. Chakraborty: Department of Mathematics and Computer Science, University of Missouri, Saint Louis, MO 63121, USA
New Mathematics and Natural Computation (NMNC), 2016, vol. 12, issue 03, 241-249
Abstract:
This paper provides a review of recent research in the application of genetic algorithms to proton exchange membrane fuel cell parameter optimization.
Keywords: Proton exchange membrane fuel cell; PEMFC stack; genetic algorithm (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:12:y:2016:i:03:n:s1793005716500162
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DOI: 10.1142/S1793005716500162
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