Binois, M. orcid.org/0000-0002-7225-1680, Branke, J., Fieldsend, J. orcid.org/0000-0002-0683-2583 et al. (1 more author) (2025) Decoupled design of experiments for expensive multi-objective problems. In: Festa, P., Ferone, D., Pastore, T. and Pisacane, O., (eds.) Learning and Intelligent Optimization: 18th International Conference, LION 18, Ischia Island, Italy, June 9–13, 2024, Revised Selected Papers. 18th International Conference, LION 18, 09-13 Jun 2024, Ischia Island, Italy. Lecture Notes in Computer Science, LNCS 14990. Springer Nature Switzerland, pp. 37-50. ISBN: 9783031756221. ISSN: 0302-9743. EISSN: 1611-3349.
Abstract
In this paper we look at the experimental design for multi-objective problems, where the objectives can be evaluated independently (decoupled) and thus it may make sense to evaluate different solutions for each objective if the objectives have different evaluation costs and/or different landscape characteristics. We propose to iteratively add design points in a way that minimises the total integrated mean squared prediction error assuming a Gaussian process response surface model, and show that allowing decoupled evaluations can lead to significantly better Pareto front estimations than a coupled design of experiments if the evaluation costs of the objectives are different. We also find that our approach of minimising mean squared prediction error yields significantly better results than standard Latin Hypercube designs even if the evaluation costs and landscape characteristics of the objectives are the same.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Learning and Intelligent Optimization: 18th International Conference, LION 18, Ischia Island, Italy, June 9–13, 2024, Revised Selected Papers is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Expensive optimisation; Varying costs; Multi-objective experimental design |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
Funding Information: | Funder Grant number MEDICAL RESEARCH COUNCIL MR/S037578/1 |
Date Deposited: | 17 Oct 2025 11:30 |
Last Modified: | 17 Oct 2025 11:33 |
Status: | Published |
Publisher: | Springer Nature Switzerland |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-75623-8_4 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:232874 |