Pem Fuel Cell Modeling Using Differential Evolution

Uday K. Chakraborty; Travis E. Abbott; Sajal K. Das

doi:10.1016/j.energy.2012.01.039

Pem Fuel Cell Modeling Using Differential Evolution

Uday K. Chakraborty, Travis E. Abbott, Sajal K. Das

University of Missouri-St. Louis

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

Abstract

This paper develops a differential-evolution-based solution for the problem of proton exchange membrane fuel cell stack modeling. The problem is analytically intractable and computationally hard. The present paper produces results that outperform state-of-the-art approaches on three performance metrics: solution quality corresponding to a given cost, cost of finding a solution of a given quality, and frequency of producing an optimal or near-optimal solution.

Original language	American English
Journal	Energy
Volume	40
DOIs	https://doi.org/10.1016/j.energy.2012.01.039
State	Published - Apr 1 2012

Disciplines

Applied Mathematics
Engineering

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title = "Pem Fuel Cell Modeling Using Differential Evolution",

abstract = " This paper develops a differential-evolution-based solution for the problem of proton exchange membrane fuel cell stack modeling. The problem is analytically intractable and computationally hard. The present paper produces results that outperform state-of-the-art approaches on three performance metrics: solution quality corresponding to a given cost, cost of finding a solution of a given quality, and frequency of producing an optimal or near-optimal solution.",

author = "Chakraborty, \{Uday K.\} and Abbott, \{Travis E.\} and Das, \{Sajal K.\}",

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AU - Abbott, Travis E.

AU - Das, Sajal K.

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PY - 2012/4/1

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N2 - This paper develops a differential-evolution-based solution for the problem of proton exchange membrane fuel cell stack modeling. The problem is analytically intractable and computationally hard. The present paper produces results that outperform state-of-the-art approaches on three performance metrics: solution quality corresponding to a given cost, cost of finding a solution of a given quality, and frequency of producing an optimal or near-optimal solution.

AB - This paper develops a differential-evolution-based solution for the problem of proton exchange membrane fuel cell stack modeling. The problem is analytically intractable and computationally hard. The present paper produces results that outperform state-of-the-art approaches on three performance metrics: solution quality corresponding to a given cost, cost of finding a solution of a given quality, and frequency of producing an optimal or near-optimal solution.

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U2 - 10.1016/j.energy.2012.01.039

DO - 10.1016/j.energy.2012.01.039

M3 - Article

VL - 40

JO - Energy

JF - Energy

ER -

Pem Fuel Cell Modeling Using Differential Evolution

Abstract

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