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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3830

Title: Determining heat transfer coefficients using evolutionary algorithms
Authors: Tesch, K
Atherton, MA
Karayiannis, TG
Collins, MW
Edwards, P
Keywords: Heat transfer coefficient
Air-fed pressurized suits
Strength pareto evolutionary algorithm
Publication Date: 2009
Publisher: Taylor & Francis
Citation: Engineering Optimization, 41 (9): 855-870, Sep 2009
Abstract: This article presents a way of determining heat transfer calibrations for multi-objective and single-objective optimization by means of genetic algorithms. The need for optimization arises from the necessity for mathematical model validation and is very relevant to practical applications. The SPEA algorithm is used for multi-objective optimization. Scalarization of the fitness function is also addressed in combination with a small population size in order to keep the computational cost of the problem to a minimum. This is because of the time spent for a fitness function evaluation which comes from numerical solution of the nonlinear partial differential equations. The result is that a value of the heat transfer coefficient is determined that produces minimal difference between experimental results and numerical predictions.
URI: http://bura.brunel.ac.uk/handle/2438/3830
http://www.tandfonline.com/doi/abs/10.1080/03052150903074239
ISSN: 0305-215X
Appears in Collections:School of Engineering and Design Research papers
Mechanical Engineering

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