EconPapers    
Economics at your fingertips  
 

Parameter Optimization of PEMFC with Genetic Algorithm

Puja Bhatt (), Neha Agarwal () and Uday K. Chakraborty
Additional contact information
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
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S1793005716500162
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:12:y:2016:i:03:n:s1793005716500162

Ordering information: This journal article can be ordered from

DOI: 10.1142/S1793005716500162

Access Statistics for this article

New Mathematics and Natural Computation (NMNC) is currently edited by Paul P Wang

More articles in New Mathematics and Natural Computation (NMNC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:nmncxx:v:12:y:2016:i:03:n:s1793005716500162