Multi-Objective Optimization Using Evolutionary Algorithms Hardcover - 2001
by Kalyanmoy Deb
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HASH(0x11148b80)
From the rear cover
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
Details
- Title Multi-Objective Optimization Using Evolutionary Algorithms
- Author Kalyanmoy Deb
- Binding Hardcover
- Edition INTERNATIONAL ED
- Pages 536
- Volumes 1
- Language ENG
- Publisher Wiley
- Date 2001-07-05
- ISBN 9780471873396 / 047187339X
- Weight 1.92 lbs (0.87 kg)
- Dimensions 9.5 x 6.52 x 1.4 in (24.13 x 16.56 x 3.56 cm)
- Library of Congress subjects Mathematical optimization, Multiple criteria decision making
- Library of Congress Catalog Number 2001022514
- Dewey Decimal Code 519.3
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