Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem

Duro, J.A. orcid.org/0000-0002-7684-4707, Ozturk, U.E., Oara, D.C. et al. (4 more authors) (2023) Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem. European Journal of Operational Research, 307 (1). pp. 421-446. ISSN 0377-2217

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: Multiple objective programming; Bayesian optimization; Mixed continuous and discrete variables; Constraint handling; Gasoline engine
Dates:
  • Accepted: 24 August 2022
  • Published (online): 6 September 2022
  • Published: 16 May 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
FunderGrant number
INNOVATE UK78938-506185
Depositing User: Symplectic Sheffield
Date Deposited: 07 Sep 2022 09:28
Last Modified: 16 Feb 2023 10:42
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ejor.2022.08.032

Export

Statistics