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

•Engine design problems are compute-expensive, mixed-integer and constrained.•A multi-objective Bayesian optimizer is extended to solve these type of problems.•Probability of feasibility constraint handling is better than using penalty functions.•The new Bayesian optimizer converges faster than a po...

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Bibliographic Details

Published in:	European journal of operational research Vol. 307; no. 1; pp. 421 - 446
Main Authors:	Duro, João A., Ozturk, Umud Esat, Oara, Daniel C., Salomon, Shaul, Lygoe, Robert J., Burke, Richard, Purshouse, Robin C.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 16.05.2023
Subjects:	Bayesian optimization Constraint handling Gasoline engine Mixed continuous and discrete variables Multiple objective programming Mixed continuous and discrete variables Constraint handling Bayesian optimization Multiple objective programming Gasoline engine
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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