Multi-objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb
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Description for Multi-objective Optimization Using Evolutionary Algorithms
Paperback. 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 and scheduling. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. Num Pages: 544 pages, black & white illustrations, black & white tables, maps, figures. BIC Classification: PBW. Category: (P) Professional & Vocational. Dimension: 242 x 170 x 29. Weight in Grams: 868.
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.
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 ... Read more
- 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.
Show LessProduct Details
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
544
Format
Paperback
Publication date
2008
Condition
New
Weight
868g
Number of Pages
544
Place of Publication
New York, United States
ISBN
9780470743614
SKU
V9780470743614
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Kalyanmoy Deb
Kalyanmoy Deb is an Indian computer scientist. Since 2013, Deb has held the Herman E. & Ruth J. Koenig Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University, which was established in 2001.
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