The University of Southampton
University of Southampton Institutional Repository

Probability of improvement methods for constrained multi-objective optimization

Probability of improvement methods for constrained multi-objective optimization
Probability of improvement methods for constrained multi-objective optimization
This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multiobjective optimization. The savings in computational cost with such methods make them particularly useful for optimal electromagnetic design.
Constrained multi-objective optimization, kriging
978-0-86341-891-4
50-51
Hawe, G. I.
0979384f-3c4d-4ba0-aba7-c4203c26e591
Sykulski, J. K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Hawe, G. I.
0979384f-3c4d-4ba0-aba7-c4203c26e591
Sykulski, J. K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Hawe, G. I. and Sykulski, J. K. (2008) Probability of improvement methods for constrained multi-objective optimization. The IET 7th International Conference on Computation in Electromagnetics CEM 2008, Old Ship Hotel Brighton, United Kingdom. 07 - 10 Apr 2008. pp. 50-51 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multiobjective optimization. The savings in computational cost with such methods make them particularly useful for optimal electromagnetic design.

Text
CEM2008_GH_JKS_p50.pdf - Version of Record
Download (89kB)

More information

Published date: 7 April 2008
Additional Information: Event Dates: 7 – 10 April 2008
Venue - Dates: The IET 7th International Conference on Computation in Electromagnetics CEM 2008, Old Ship Hotel Brighton, United Kingdom, 2008-04-07 - 2008-04-10
Keywords: Constrained multi-objective optimization, kriging
Organisations: EEE

Identifiers

Local EPrints ID: 265420
URI: http://eprints.soton.ac.uk/id/eprint/265420
ISBN: 978-0-86341-891-4
PURE UUID: bb077c57-314c-455f-82ea-d1b31472ed31
ORCID for J. K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 11 Apr 2008 09:11
Last modified: 15 Mar 2024 02:34

Export record

Contributors

Author: G. I. Hawe
Author: J. K. Sykulski ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×