Descripci�n Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year's edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. 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. 228 pp. Englisch. N� de ref. del art�culo: 9789811681158

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Genetic Programming Theory and Practice XVIII

Publicado por Springer, Berlin|Springer Nature Singapore|Springer (2023)

ISBN 10: 9811681155 ISBN 13: 9789811681158

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Genetic Programming Theory and Practice

Banzhaf, Wolfgang (EDT); Trujillo, Leonardo (EDT); Winkler, Stephan (EDT); Worzel, Bill (EDT)

Publicado por Springer (2023)

ISBN 10: 9811681155 ISBN 13: 9789811681158

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Genetic Programming Theory and Practice XVIII

Wolfgang Banzhaf

Publicado por Springer Nature Singapore (2023)

ISBN 10: 9811681155 ISBN 13: 9789811681158

Nuevo Taschenbuch Cantidad disponible: 1

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AHA-BUCH GmbH
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Descripci�n Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year's edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. 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. N� de ref. del art�culo: 9789811681158

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