Multi-Objective Optimization Using Evolutionary Algorithms (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
544
Utgivningsdatum
2008-10-28
Förlag
John Wiley & Sons Inc
Dimensioner
239 x 165 x 30 mm
Vikt
885 g
ISBN
9780470743614

Multi-Objective Optimization Using Evolutionary Algorithms

av Kalyanmoy Deb, Deb
Häftad,  Engelska, 2008-10-28
849
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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.

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Kalyanmoy Deb, Deb

Övrig information

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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