Non-Convex Multi-Objective Optimization
Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trade-offs between various conflicting goals. A variety of deterministic and stochastic multi-objective optimization methods are developed in this book. Beginning with basic concepts and a review of non-convex single-objective optimization problems; this book moves on to cover multi-objective branch and bound algorithms, worst-case optimal algorithms (…
Mehr
CHF 130.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
L048:
Lieferbar in 48 Stunden
Produktdetails
Weitere Autoren: Zilinskas, Antanas / Zilinskas, Julius
- ISBN: 978-3-319-61005-4
- EAN: 9783319610054
- Produktnummer: 23014030
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 192 S.
- Masse: H23.5 cm x B15.5 cm 4'321 g
- Auflage: 1st ed. 2017
- Abbildungen: Farb., s/w. Abb.
- Reihenbandnummer: 123
- Gewicht: 4321
- Sonstiges: Research
100 weitere Werke von Panos M. Pardalos:
Bewertungen
Anmelden