Verlag: Annals Assoc Amer Geog, 2008
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Magazin / Zeitschrift
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In den WarenkorbPamphlet. Zustand: Very Good. Vol 98, No 4, pp. 795-817, Maps, Illus, 4to, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.
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In den WarenkorbPaperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.35.
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In den WarenkorbZustand: New.
Verlag: John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470743611 ISBN 13: 9780470743614
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 148 pages. 9.00x6.00x0.25 inches. In Stock.
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 896.
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In den WarenkorbZustand: New. pp. 544.
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In den WarenkorbPaperback. Zustand: New. 1st Edition. Special order direct from the distributor.
Verlag: John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470743611 ISBN 13: 9780470743614
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbZustand: 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. . . . .
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 92,44
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - 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 algorithmsProvides 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.