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. , pp. 115-116.

Download

[img] PDF CEM2006-Hawe-Sykulski-paper.pdf - Other
Download (113kB)

Description/Abstract

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: Conference or Workshop Item (Paper)
Additional Information: CEM 2006, 4 - 6 April 2006, Aachen, Germany
ISBNs: 9783800729579 (print)
Organisations: EEE
ePrint ID: 262280
Date :
Date Event
2006Published
Date Deposited: 07 Apr 2006
Last Modified: 17 Apr 2017 21:44
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/262280

Actions (login required)

View Item View Item