A surrogate-assisted a priori multiobjective evolutionary algorithm for constrained multiobjective optimization problems

We consider multiobjective optimization problems with at least one computationally expensive constraint function and propose a novel surrogate-assisted evolutionary algorithm that can incorporate preference information given a priori. We employ Kriging models to approximate expensive objective and c...

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Bibliographic Details
Published in:	Journal of global optimization Vol. 90; no. 2; pp. 459 - 485
Main Authors:	Aghaei pour, Pouya, Hakanen, Jussi, Miettinen, Kaisa
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2024 Springer Springer Nature B.V
Subjects:	Algorithms Analysis Computer Science Constraints Evolutionary algorithms Genetic algorithms Mathematics Mathematics and Statistics Multiple objective analysis Operations Research/Decision Theory Optimization Performance evaluation Real Functions Constraint handling Multiple objectives Surrogate-assisted optimization A priori algorithms Constrained problems Model management Computationally expensive problems
ISSN:	0925-5001, 1573-2916
Online Access:	Get full text
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