Bayesian optimization with multi-objective acquisition function for bilevel problem
dc.contributor.author | Dogan, Vedat | en |
dc.contributor.author | Prestwich, Steven D. | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | European Regional Development Fund | en |
dc.date.accessioned | 2023-03-29T13:51:03Z | |
dc.date.available | 2023-03-29T13:51:03Z | |
dc.date.issued | 2023-02-23 | en |
dc.description.abstract | A bilevel optimization problem consists of an upper-level and a lower-level optimization problem connected to each other hierarchically. Efficient methods exist for special cases, but in general solving these problems is difficult. Bayesian optimization methods are an interesting approach that speed up search using an acquisition function, and this paper proposes a modified Bayesian approach. It treats the upper-level problem as an expensive black-box function, and uses multiple acquisition functions in a multi-objective manner by exploring the Pareto-front. Experiments on popular bilevel benchmark problems show the advantage of the method. | en |
dc.description.version | Published Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Dogan, V. and Prestwich, S. (2023) ‘Bayesian optimization with multi-objective acquisition function for bilevel problems’, AICS2022: 30th Irish Conference on Artificial Intelligence and Cognitive Science, in L. Longo and R. O’Reilly (eds) Artificial Intelligence and Cognitive Science. Cham: Springer Nature Switzerland, pp. 409–422. https://doi.org/10.1007/978-3-031-26438-2_32 | en |
dc.identifier.doi | 10.1007/978-3-031-26438-2_32 | en |
dc.identifier.endpage | 422 | en |
dc.identifier.isbn | 978-3-031-26437-5 | en |
dc.identifier.isbn | 978-3-031-26438-2 | en |
dc.identifier.startpage | 409 | en |
dc.identifier.uri | https://hdl.handle.net/10468/14335 | |
dc.identifier.volume | 1662 | en |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.relation.ispartof | 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS2022), Munster Technological University, Cork, 8-9 December | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/ | en |
dc.rights | © 2023 The Author(s). Open Access. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Bayesian optimization | en |
dc.subject | Bilevel optimization problems | en |
dc.subject | Multi-objective acquisition | en |
dc.subject | Multi-objective optimization | en |
dc.title | Bayesian optimization with multi-objective acquisition function for bilevel problem | en |
dc.type | Conference item | en |
dc.type | Book chapter | en |