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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Journal of global optimization Ročník 90; číslo 2; s. 459 - 485
Hlavní autori:	Aghaei pour, Pouya, Hakanen, Jussi, Miettinen, Kaisa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.10.2024 Springer Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!