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An Enhanced Probability of Improvement Utility Function for Locating Pareto Optimal Solutions

An Enhanced Probability of Improvement Utility Function for Locating Pareto Optimal Solutions
An Enhanced Probability of Improvement Utility Function for Locating Pareto Optimal Solutions
This paper describes a novel utility function for choosing design vectors to evaluate in multi-objective optimization problems which are statistically most probable to be Paretooptimal, given the points already evaluated. The method is tunable to the number of existing Pareto-optimal solutions that an unevaluated design vector is sought to dominate, is naturally parallelized, and removes any need for combining the multiple objectives into a single objective with a scalarizing function.
965-966
Hawe, G.I.
649d9e56-696a-4aef-a882-832d5f94a094
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Hawe, G.I.
649d9e56-696a-4aef-a882-832d5f94a094
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Hawe, G.I. and Sykulski, J.K. (2007) An Enhanced Probability of Improvement Utility Function for Locating Pareto Optimal Solutions. 16th Conference on the Computation of Electromagnetic Fields COMPUMAG, Aachen, Germany. 24 - 27 Jun 2007. pp. 965-966 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes a novel utility function for choosing design vectors to evaluate in multi-objective optimization problems which are statistically most probable to be Paretooptimal, given the points already evaluated. The method is tunable to the number of existing Pareto-optimal solutions that an unevaluated design vector is sought to dominate, is naturally parallelized, and removes any need for combining the multiple objectives into a single objective with a scalarizing function.

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More information

Published date: 2007
Additional Information: Event Dates: 25 – 28 June 2007
Venue - Dates: 16th Conference on the Computation of Electromagnetic Fields COMPUMAG, Aachen, Germany, 2007-06-24 - 2007-06-27
Organisations: EEE

Identifiers

Local EPrints ID: 264368
URI: http://eprints.soton.ac.uk/id/eprint/264368
PURE UUID: 0b6731ba-09d3-4888-83bb-0780a9edf300
ORCID for J.K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 02 Aug 2007
Last modified: 07 Oct 2020 02:31

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