| Multi-Objective Optimization Using Evolutionary Algorithms Contributor(s): Deb, Kalyanmoy (Author) |
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ISBN: 047187339X ISBN-13: 9780471873396 Publisher: Wiley OUR PRICE: $169.05 Product Type: Hardcover - Other Formats Published: July 2001 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. |