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books
| book details |
Multi-Objective Optimization Using Evolutionary Algorithms
By (author) Kalyanmoy Deb
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| on special |
normal price: R 2 582.95
Price: R 2 324.95
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| book description |
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. 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. Comrephensive 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 and scheduling. Includes discussion of advanced topics and future research. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches. This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.
| product details |
Normally shipped |
Publisher | John Wiley & Sons Inc
Published date | 28 Oct 2008
Language |
Format | Paperback / softback
Pages | 544
Dimensions | 248 x 172 x 30mm (L x W x H)
Weight | 879g
ISBN | 978-0-4707-4361-4
Readership Age |
BISAC | science / life sciences / evolution
| other options |
Normally shipped |
Readership Age |
Normal Price | R 3 518.95
Price | R 3 167.95
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