Titre :

Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles

Auteur(s) :

Gamot, Juliette [Auteur]
DTIS, ONERA, Université Paris Saclay [Palaiseau]
Balesdent, Mathieu [Auteur]
DTIS, ONERA, Université Paris Saclay [Palaiseau]
Tremolet, Arnault [Auteur]
DTIS, ONERA, Université Paris Saclay [Palaiseau]
Wuilbercq, Romain [Auteur]
DTIS, ONERA, Université Paris Saclay [Palaiseau]
Melab, Nouredine [Auteur]
Optimisation de grande taille et calcul large échelle [BONUS]
Talbi, El-Ghazali [Auteur]
Optimisation de grande taille et calcul large échelle [BONUS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Inria Lille - Nord Europe
Université de Lille

Titre de la revue :

Engineering Applications of Artificial Intelligence

Pagination :

105941

Éditeur :

Elsevier

Date de publication :

2023-05

ISSN :

0952-1976

Mot(s)-clé(s) en anglais :

Evolutionary algorithms EA

Discipline(s) HAL :

Informatique [cs]

Résumé en anglais : [en]

The optimal layout of a complex system such as aerospace vehicles consists in placing a given number of components in a container in order to minimize one or several objectives under some geometrical or functional constraints. ...
Lire la suite >The optimal layout of a complex system such as aerospace vehicles consists in placing a given number of components in a container in order to minimize one or several objectives under some geometrical or functional constraints. This paper presents an extended formulation of this problem as a variable-size design space (VSDS) problem to take into account a large number of architectural choices and components allocation during the design process. As a representative example of such systems, considering the layout of a satellite module, the VSDS aspect translates the fact that the optimizer has to choose between several subdivisions of the components. For instance, one large tank of fuel might be placed as well as two smaller tanks or three even smaller tanks for the same amount of fuel. In order to tackle this NP-hard problem, a genetic algorithm enhanced by an adapted hidden-variables mechanism is proposed. This latter is illustrated on a toy case and an aerospace application case representative to real world complexity to illustrate the performance of the proposed algorithms. The results obtained using the proposed mechanism are reported and analyzed.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL