Multi-Objective Optimization using Evolutionary Algorithms (häftad)
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Format
Inbunden (Hardback)
Språk
Engelska
Serie
Wiley Interscience Series in Systems and Optimization (del 16)
Antal sidor
536
Utgivningsdatum
2001-05-22
Förlag
John Wiley & Sons Inc
Dimensioner
255 x 180 x 35 mm
Vikt
1150 g
ISBN
9780471873396

Multi-Objective Optimization using Evolutionary Algorithms

av Kalyanmoy Deb, Deb
Inbunden,  Engelska, 2001-05-22
1775
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Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many 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 and scheduling Includes discussion of advanced topics and future research Can be used as a course text or for self-study Accessible to those with limited knowledge of classical multi-objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.

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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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