Comparative studies on micro heat exchanger optimisation.
Okabe, T, Foli, K, Olhofer, M, Jin, Y and Sendhoff, B (2003) Comparative studies on micro heat exchanger optimisation.
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Although many methods for dealing with multi-objective optimisation (MOO) problems are available as stated in K. Deb (2001) and successful applications have been reported on C.A. Coello et al. (2001), the comparison between MOO methods applied to real-world problem was rarely carried out. This paper reports the comparison between MOO methods applied to a real-world problem, namely, the optimization of a micro heat exchanger (μHEX). Two MOO methods, dynamically weighted aggregation (DWA) proposed by Y. Jin et al. (2001) and non-dominated sorting genetic algorithms (NSGA-II) proposed by K. Deb et al. (2000) and K. Deb et al. (2002), were used for the study. The commercial computational fluid dynamics (CFD) solver CFD-ACE+ is used to evaluate fitness. We introduce how to interface the commercial solver with evolutionary computation (EC) and also report the necessary functionalities of the commercial solver to be used for the optimisation.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Identification Number :||https://doi.org/10.1109/CEC.2003.1299637|
|Related URLs :|
|Additional Information :||© 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||13 Jul 2012 10:06|
|Last Modified :||23 Sep 2013 19:27|
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