Evolutionary algorithms are relatively new, powerful techniques used to find solutions to many real--world search and optimization problems. Focusing on these "thinking" algorithms, this book offers comprehensive coverage of these techniques, which are highly effective in finding multiple effective solutions in a single simulation run. Series: Wiley Interscience Series in Systems & Optimization. Num Pages: 518 pages, Ill. BIC Classification: PBU; PBW; PSAJ. Category: (P) Professional & Vocational. Dimension: 250 x 175 x 40. Weight in Grams: 1110. . 2001. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliografische Details

Titel: Multi-objective Optimization Using Evolutionary Algorithms
Verlag: John Wiley and Sons Ltd
Erscheinungsjahr: 2001
Sprache: Englisch
ISBN-10: 047187339X
ISBN-13: 9780471873396
Einband: Hardcover
Zustand: New

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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.

�ber die Autorin bzw. den Autor

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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