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Genetic Programming Theory and Practice X

Riolo, Rick (Editor)/ Vladislavleva, Ekaterina (Editor)/ Ritchie, Marylyn (Editor)/ Moore, Jason H. (Editor)

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ISBN 10: 1461468450 / ISBN 13: 9781461468455
Editorial: Springer-Verlag New York Inc, 2013
Nuevos Condición: Brand New Encuadernación de tapa dura
Librería: Revaluation Books (Exeter, Reino Unido)

Librería en AbeBooks desde: 6 de enero de 2003

Cantidad: 2

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Descripción

2013 edition. 270 pages. 9.25x6.25x0.75 inches. In Stock. N° de ref. de la librería __1461468450

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Detalles bibliográficos

Título: Genetic Programming Theory and Practice X

Editorial: Springer-Verlag New York Inc

Año de publicación: 2013

Encuadernación: Hardcover

Condición del libro:Brand New

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Sinopsis:

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of  injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data.

Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Review:

From the book reviews:

“This book reflects the progress made in GP during recent years. It covers a large range of up-to-date applications and theoretical issues. All of the papers are valuable and are recommended reading for AI scientists or novices.” (Svetlana Segarceanu, Computing Reviews, July, 2014)

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Legal entity name: Edward Bowditch Ltd
Legal entity form: Limited company
Business correspondence address: Exstowe, Exton, Exeter, EX3 0PP
Company registration number: 04916632
VAT registration: GB834241546
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