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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Annals of mathematics and artificial intelligence Ročník 88; číslo 1-3; s. 187 - 212
Hlavní autoři:	Gaudrie, David, Le Riche, Rodolphe, Picheny, Victor, Enaux, Benoît, Herbert, Vincent
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.03.2020 Springer Springer Nature B.V Springer Verlag
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!