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
Available under License : See the attached licence file.
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 (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Identification Number :||https://doi.org/10.1007/978-3-540-85984-0_29|
|Additional Information :||The original publication is available at http://www.springerlink.com|
|Depositing User :||Symplectic Elements|
|Date Deposited :||06 Jul 2012 17:35|
|Last Modified :||16 Jun 2015 13:33|
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