Optimization Using Evolutionary Algorithms (81 results)
Published by Annals Assoc Amer Geog, 2008
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Add to basketPamphlet. Condition: 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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Published by CRC Press, 2021
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Published by CRC Press, 2021
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Published by CRC Press, 2021
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Published by CRC Press, 2021
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Published by CRC Press, 2021
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Published by CRC Press, 2021
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Published by CRC Press, 2021
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Published by Taylor & Francis Ltd, 2021
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Paperback. Condition: New. 1st. 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 ob…jectives, 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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hardcover. Condition: Good. Name written on the title page. Used copy with some highlighting/notations.
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Published by CRC Press, 2021
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Published by CRC Press, 2021
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Published by CRC Press 2021-03-31, 2021
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Condition: New. pp. 544.
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Condition: 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 evoluti…onary 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. . . . .
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Language: English
Published by CRC Pr I Llc, 2021
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Paperback. Condition: Brand New. 148 pages. 9.00x6.00x0.25 inches. In Stock.
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Condition: New. pp. 544.
