Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions

Multi-objective optimization aims at finding trade-off solutions to conflicting objectives. These constitute the Pareto optimal set. In the context of expensive-to-evaluate functions, it is impossible and often non-informative to look for the entire set. As an end-user would typically prefer a certa...

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Bibliographic Details
Published in:	Annals of mathematics and artificial intelligence Vol. 88; no. 1-3; pp. 187 - 212
Main Authors:	Gaudrie, David, Le Riche, Rodolphe, Picheny, Victor, Enaux, Benoît, Herbert, Vincent
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.03.2020 Springer Springer Nature B.V Springer Verlag
Subjects:	Algorithms Approximation Artificial Intelligence Bayesian analysis Complex Systems Computer Science Design of experiments Expected values Gaussian process Mathematics Multiple objective analysis Objectives Optimization Optimization and Control Other Statistics Pareto optimization Pareto optimum Statistics Preference-based optimization Computer experiments Bayesian optimization Parallel optimization 65Kxx Gaussian processes
ISSN:	1012-2443, 1573-7470
Online Access:	Get full text
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