Parameter Optimization of PEMFC with Genetic Algorithm

Puja Bhatt; Neha Agarwal; Uday K. Chakraborty

doi:10.1142/S1793005716500162

Parameter Optimization of PEMFC with Genetic Algorithm

Puja Bhatt, Neha Agarwal, Uday K. Chakraborty

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Abstract

This paper provides a review of recent research in the application of genetic algorithms to proton exchange membrane fuel cell parameter optimization.

Original language	American English
Journal	New Mathematics and Natural Computation
Volume	12
DOIs	https://doi.org/10.1142/S1793005716500162
State	Published - Jan 11 2016

Disciplines

Applied Mathematics
Mathematics
Artificial Intelligence and Robotics

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10.1142/S1793005716500162License: Unspecified

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Parameter Optimization of PEMFC with Genetic Algorithm

Abstract

Disciplines

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