The consideration of surrogate model accuracy in single-objective electromagnetic design optimization

Hawe, G.I. and Sykulski, J.K. (2006) The consideration of surrogate model accuracy in single-objective electromagnetic design optimization. In, Proceedings of Sixth International Conference on Computational Electromagnetics. , , 115-116.


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The computational cost of evaluating the objective function in electromagnetic optimal design problems necessitates the use of cost-effective techniques. This paper describes how one popular technique, surrogate modelling, has been used in the single-objective optimization of electromagnetic devices. Three different types of surrogate model are considered, namely polynomial approximation, artificial neural networks and kriging. The importance of considering surrogate model accuracy is emphasised, and techniques used to improve accuracy for each type of model are discussed. Developments in this area outside the field of electromagnetic design optimization are also mentioned. It is concluded that surrogate model accuracy is an important factor which should be considered during an optimization search, and that developments have been made elsewhere in this area which are yet to be implemented in electromagnetic design optimization.

Item Type: Book Section
Additional Information: CEM 2006, 4 - 6 April 2006, Aachen, Germany
ISBNs: 9783800729579
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 262280
Accepted Date and Publication Date:
Date Deposited: 07 Apr 2006
Last Modified: 31 Mar 2016 14:05
Further Information:Google Scholar

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