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 Pareto-optimal, 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
2007
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.
25 - 28 Jun 2007.
.
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 Pareto-optimal, 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.
Text
COMPUMAG_2007_page_965_JKS+DH.pdf
- Other
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, 2007-06-25 - 2007-06-28
Organisations:
EEE
Identifiers
Local EPrints ID: 264368
URI: http://eprints.soton.ac.uk/id/eprint/264368
PURE UUID: 0b6731ba-09d3-4888-83bb-0780a9edf300
Catalogue record
Date deposited: 02 Aug 2007
Last modified: 15 Mar 2024 02:34
Export record
Contributors
Author:
G.I. Hawe
Author:
J.K. Sykulski
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