Exploration versus exploitation using kriging surrogate modelling in electromagnetic design
Exploration versus exploitation using kriging surrogate modelling in electromagnetic design
Purpose – Design optimisation of electromagnetic devices is computationally expensive as use of finite element or similar codes is normally required. Thus, one of the objectives is to have efficient algorithms minimising the number of necessary function calls. In such algorithms a balance between exploration and exploitation needs to be found not to miss the global optimum but at the same time to make efficient use of information already found. The purpose of this paper is to contribute to the search of such efficient algorithms.
Design/methodology/approach – This paper discusses the use of kriging surrogate modelling in multiobjective design optimisation in electromagnetics. The investigation relies on the use of special test functions.
Findings – The importance of achieving appropriate balance between exploration and exploitation is emphasised when searching for the global optimum. New strategies are proposed using kriging.
Originality/value – It is argued that the proposed approach will yield a procedure to solve time consuming electromagnetic design problems efficiently and will also assist the decision making process to achieve a robust design of practical devices considering tolerances and uncertainties.
1541-1551
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Rotaru, M.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
September 2012
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Rotaru, M.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Xiao, Song, Rotaru, M. and Sykulski, J.K.
(2012)
Exploration versus exploitation using kriging surrogate modelling in electromagnetic design.
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 31 (5), .
(doi:10.1108/03321641211248291).
Abstract
Purpose – Design optimisation of electromagnetic devices is computationally expensive as use of finite element or similar codes is normally required. Thus, one of the objectives is to have efficient algorithms minimising the number of necessary function calls. In such algorithms a balance between exploration and exploitation needs to be found not to miss the global optimum but at the same time to make efficient use of information already found. The purpose of this paper is to contribute to the search of such efficient algorithms.
Design/methodology/approach – This paper discusses the use of kriging surrogate modelling in multiobjective design optimisation in electromagnetics. The investigation relies on the use of special test functions.
Findings – The importance of achieving appropriate balance between exploration and exploitation is emphasised when searching for the global optimum. New strategies are proposed using kriging.
Originality/value – It is argued that the proposed approach will yield a procedure to solve time consuming electromagnetic design problems efficiently and will also assist the decision making process to achieve a robust design of practical devices considering tolerances and uncertainties.
Text
COMPELvol31no5y2012page1541.pdf
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Published date: September 2012
Organisations:
EEE
Identifiers
Local EPrints ID: 342609
URI: http://eprints.soton.ac.uk/id/eprint/342609
ISSN: 0332-1649
PURE UUID: 239540dd-182e-4e86-824b-e249a0b77e54
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Date deposited: 10 Sep 2012 08:29
Last modified: 15 Mar 2024 02:34
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Contributors
Author:
Song Xiao
Author:
M. Rotaru
Author:
J.K. Sykulski
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