Sequential Approximate Multiobjective Optimization Using Computational Intelligence / Vector Optimization (PDF)
This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as encountered in many practical problems, sequential...
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This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as encountered in many practical problems, sequential approximate optimization based on metamodels is an effective tool from a practical viewpoint. Several sophisticated methods for sequential approximate multiobjective optimization using computational intelligence are introduced along with real applications, mainly engineering problems, in this book.
- Autoren: Hirotaka Nakayama , Yeboon Yun , Min Yoon
- 2009, 2009, 200 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540889108
- ISBN-13: 9783540889106
- Erscheinungsdatum: 12.06.2009
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 10 MB
- Ohne Kopierschutz
- Vorlesefunktion
From the reviews:
"The basic concepts of multiobjective optimization are included making the book self-contained. The performance of the presented methods is demonstrated by the results of applications to real world problems. … The book is aimed to researchers, practitioners in industries and students of graduate course and high grade of undergraduate course." (Antanas Žilinskas, Zentralblatt MATH, Vol. 1167, 2009)
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