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EUR 177,45
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Añadir al carritoCondición: New.
EUR 179,12
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 162,36
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Añadir al carritoCondición: New.
EUR 190,51
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Añadir al carritoCondición: New. pp. 340.
EUR 180,83
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 194,69
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Añadir al carritoCondición: New. pp. 340 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
EUR 197,95
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Añadir al carritoCondición: New. pp. 340.
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 1997
ISBN 10: 0792399420 ISBN 13: 9780792399421
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 201,65
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. Intends to highlight a synergistic effect that is emerging between fuzzy sets and evolutionary computation. This volume discusses and quantifies the main advantages arising from this symbiosis. Editor(s): Pedrycz, Witold. Num Pages: 320 pages, biography. BIC Classification: PBWX; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 1440. . 1997. Hardback. . . . .
EUR 178,14
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Añadir al carritoCondición: New. As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Bach of them has its own clearly defined research agenda, specific goals to be achieved, and a wen setUed.
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 1997
ISBN 10: 0792399420 ISBN 13: 9780792399421
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 251,15
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. Intends to highlight a synergistic effect that is emerging between fuzzy sets and evolutionary computation. This volume discusses and quantifies the main advantages arising from this symbiosis. Editor(s): Pedrycz, Witold. Num Pages: 320 pages, biography. BIC Classification: PBWX; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 1440. . 1997. Hardback. . . . . Books ship from the US and Ireland.
EUR 247,94
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Bach of them has its own clearly defined research agenda, specific goals to be achieved, and a wen setUed algorithmic environment. Concisely speaking, Evolutionary Computing (EC) is aimed at a coherent population -oriented methodology of structural and parametric optimization of a diversity of systems. In addition to this broad spectrum of such optimization applications, this paradigm otTers an important ability to cope with realistic goals and design objectives reflected in the form of relevant fitness functions. The GA search (which is often regarded as a dominant domain among other techniques of EC such as evolutionary strategies, genetic programming or evolutionary programming) delivers a great deal of efficiency helping navigate through large search spaces. The main thrust of fuzzy sets is in representing and managing nonnumeric (linguistic) information. The key notion (whose conceptual as weH as algorithmic importance has started to increase in the recent years) is that of information granularity. It somewhat concurs with the principle of incompatibility coined by L. A. Zadeh. Fuzzy sets form a vehic1e helpful in expressing a granular character of information to be captured. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.