Non-convex multiobjective optimization under uncertainty: a descent algorithm. Application to sandwich plate design and reliability

In this paper a novel algorithm for solving multiobjective design optimization problems with non-smooth objective functions and uncertain parameters is presented. The algorithm is based on the existence of a common descent vector for each sample of the random objective functions and on an extension...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Engineering optimization Ročník 51; číslo 5; s. 733 - 752
Hlavní autori:	Mercier, Q., Poirion, F., Désidéri, J. A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 04.05.2019 Taylor & Francis Ltd
Predmet:	Algorithms Computer Science Data Structures and Algorithms Descent Design optimization Engineering Sciences Genetic algorithms Materials Multiobjective optimization Multiple objective analysis Parallel processing Parameter uncertainty Reliability stochastic algorithm uncertainty INCERTITUDE ALGORITHME STOCHASTIQUE FIABILITE OPTIMISATION MULTIDISCIPLINAIRE
ISSN:	0305-215X, 1029-0273
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!