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Multi-Objective Optimization
Contributor(s): Deb (Author)
ISBN: 047187339X     ISBN-13: 9780471873396
Publisher: John Wiley & Sons
OUR PRICE:   $169.05  
Product Type: Hardcover - Other Formats
Published: June 2001
Qty:
Annotation: Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run. Comprehensive coverage of this growing area of research Carefully introduces each algorithm with examples and in-depth discussion Includes many applications to real-world problems, including engineering design anf scheduling Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms This integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design anf evolutionary computing.

'Deb's book is complete, eminently readable, and the coverage is scholarly and thorough. It is my pleasure and duty to urge you to buy this book, read it, use it and enjoy it' - David E. Goldberg, University of Illinois at Urbana-Champaign, USA

Additional Information
BISAC Categories:
- Mathematics | Applied
- Computers | Programming - Algorithms
- Mathematics | Game Theory
Dewey: 519.3
LCCN: 2001022514
Series: Wiley Interscience Systems and Optimization
Physical Information: 1.4" H x 6.52" W x 9.5" (1.92 lbs) 536 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Optimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft.