Multi-Objective Optimization Using Evolutionary Algorithms
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- Hardcover ausgewählt
- Taschenbuch
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Sprache:Englisch
Fr. 229.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
12.07.2001
Abbildungen
w. 319 figs.
Verlag
John Wiley & Sons IncSeitenzahl
536
Maße (L/B/H)
25/17.5/3.3 cm
Gewicht
1096 g
Auflage
1. Auflage
Sprache
Englisch
ISBN
978-0-471-87339-6
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
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