Idioma: Inglés
Publicado por Kluwer Academic Pub, Hingham, Massachusetts, U.S.A., 2003
ISBN 10: 1402075812 ISBN 13: 9781402075810
Librería: Pistil Books Online, IOBA, Seattle, WA, Estados Unidos de America
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EUR 98,54
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Añadir al carritoHard Cover. Condición: Fine. Keywords: PROGRAMMING ELECTRONIC COMPUTERS GENETICS DATA.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Añadir al carritoCondición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Añadir al carritoCondición: Used. pp. 336.
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Añadir al carritoCondición: Used. pp. 336 Illus.
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 2003
ISBN 10: 1402075812 ISBN 13: 9781402075810
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Añadir al carritoCondición: New. Explores the emerging interaction between theory and practice in the machine learning method of Genetic Programming (GP). This work contains chapters that include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; and more. Editor(s): Riolo, Rick; Worzel, Bill. Series: Genetic Programming. Num Pages: 317 pages, biography. BIC Classification: UN; UYQM. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 165 x 25. Weight in Grams: 704. . 2003. Hardback. . . . .
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Añadir al carritoGebunden. Condición: New. Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed .
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 2003
ISBN 10: 1402075812 ISBN 13: 9781402075810
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 256,21
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. Explores the emerging interaction between theory and practice in the machine learning method of Genetic Programming (GP). This work contains chapters that include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; and more. Editor(s): Riolo, Rick; Worzel, Bill. Series: Genetic Programming. Num Pages: 317 pages, biography. BIC Classification: UN; UYQM. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 165 x 25. Weight in Grams: 704. . 2003. Hardback. . . . . Books ship from the US and Ireland.
EUR 247,94
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Añadir al carritoBuch. Condición: Neu. Neuware - Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of 'competent GA' methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory.