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.
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
Indian Institute of Technology, Kanpur, India
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Multi-Objective Optimization using Evolutionary Algorithms
Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India
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.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Spese di spedizione:
EUR 5,27
Da: Regno Unito a: U.S.A.
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Descrizione libro Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 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. Codice articolo B9780470743614
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Descrizione libro Condizione: New. 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. . 2009. 1st Edition. Paperback. . . . . Codice articolo V9780470743614