Evolutionary Computation 2: Advanced Algorithms and Operators expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of evolutionary algorithms. It is intended to be used by individual researchers and students in the expanding field of evolutionary computation.
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Thomas Baeck
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Destinazione, tempi e costiDa: Jackson Street Booksellers, Omaha, NE, U.S.A.
Soft cover. Condizione: Near Fine. No Jacket. 1st Edition. Near Fine in Softcover. 270pp 8vo blue spine with white titles. Codice articolo 139263
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Da: By The Way Books, Richmond, TX, U.S.A.
Condizione: Paperback in new condition. First edition. xxxiv, 270 pages. Codice articolo 29689
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Condizione: NEW. Codice articolo NW9780750306652
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Da: Brit Books, Milton Keynes, Regno Unito
Paperback. Condizione: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality. Codice articolo 4126827
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 308 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam This item is printed on demand. Codice articolo 7098437
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. Describes basic ideas underlying evolutionary algorithms. This book covers such topics as fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of evolutionary algorithms. It is suitable for students of evolutionary computation. Editor(s): Baeck, Thomas; Fogel, D. B.; Michalewicz, Z. Num Pages: 308 pages, black & white illustrations. BIC Classification: UMB. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 156 x 231 x 16. Weight in Grams: 510. . 2000. 1st Edition. Paperback. . . . . Codice articolo V9780750306652
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