Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
Titolo“Optimization Under Uncertainty with Applications to Design of Truss Structures”
Anno di pubblicazione2008
Formato
  • Elettronico
  • Cartaceo
Autore/iG. Calafiore, F. Dabbene
Affiliazioni autoriG. Calafiore : Dipartimento di Automatica e Informatica Politecnico di Torino F. Dabbene : CNR-IEIIT
Autori CNR e affiliazioni
  • GIUSEPPE CALAFIORE
  • FABRIZIO DABBENE VQR
Lingua/e
  • inglese
AbstractMany real-world engineering design problems are naturally cast in the form of optimization programs with uncertainty-contaminated data. In this context, a reliable design must be able to cope in some way with the presence of uncertainty. In this paper, we consider two standard philosophies for finding optimal solutions for uncertain convex optimization problems. In the first approach, classical in the stochastic optimization literature, the optimal design should minimize the expected value of the objective function with respect to uncertainty (average approach), while in the second one it should minimize the worst-case objective (worst-case or min-max approach). Both approaches are briefly reviewed in this paper and are shown to lead to exact and numerically efficient solution schemes when the uncertainty enters the data in simple form. For general uncertainty dependence however, the problems are numerically hard. In this paper, we present two techniques based on uncertainty randomization that permit to solve efficiently some suitable probabilistic relaxation of the indicated problems, with full generality with respect to the way in which the uncertainty enters the problem data. In the specific context of truss topology design, uncertainty in the problem arises, for instance, from imprecise knowledge of material characteristics and/or loading configurations. In this paper, we show how reliable structural design can be obtained using the proposed techniques based on the interplay of convex optimization and randomization.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da189
Pagine a200
Pagine totali-
RivistaStructural and multidisciplinary optimization (Print)
Attiva dal 2000
Editore: Springer. - Heidelberg
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1615-147X
Titolo chiave: Structural and multidisciplinary optimization (Print)
Titolo abbreviato: Struct. multidiscipl. optim. (Print)
Numero volume della rivista35
Fascicolo della rivista3
DOI10.1007/s00158-007-0145-z
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000252926500002)
Parole chiaveuncertainty; convex optimization; truss topology design; randomized algorithms
Link (URL, URI)-
Titolo parallelo-
Data di accettazione-
Note/Altre informazioniTimes Cited: 8 (from Web of Science)
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
    Progetti Europei-
    Allegati
    • Published paper

    Dati storici
    I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
    Area disciplinareComputer Science & Engineering
    Area valutazione CIVRIngegneria industriale e informatica
    Rivista ISISTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION [13335J0]