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Evolutionary optimization with dynamic fidelity computational models

Lim, D, Ong, Y-S, Jin, Y and Sendhoff, B (2008) Evolutionary optimization with dynamic fidelity computational models

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Abstract

In this paper, we propose an evolutionary framework for model fidelity control that decides, at runtime, the appropriate fidelity level of the computational model, which is deemed to be computationally less expensive, to be used in place of the exact analysis code as the search progresses. Empirical study on an aerodynamic airfoil design problem based on a Memetic Algorithm with Dynamic Fidelity Model (MA-DFM) demonstrates that improved quality solution and efficiency are obtained over existing evolutionary schemes. © 2008 Springer-Verlag Berlin Heidelberg.

Item Type: Conference or Workshop Item (Paper)
Additional Information: The original publication is available at http://www.springerlink.com
Divisions: Faculty of Engineering and Physical Sciences > Computing Science
Depositing User: Symplectic Elements
Date Deposited: 06 Jul 2012 17:35
Last Modified: 18 Sep 2014 01:59
URI: http://epubs.surrey.ac.uk/id/eprint/532828

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