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Sinopsis
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field.
The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
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Acerca del autor
Prof. Gusz Eiben received his Ph.D. in Computer Science in 1991. He was among the pioneers of evolutionary computing research in Europe, and served in key roles in steering committees, program committees and editorial boards for all the major related events and publications. His main research areas focused on multiparent recombination, constraint satisfaction, and self-calibrating evolutionary algorithms; he is now researching broader aspects of embodied intelligence and evolutionary robotics.
Prof. James E. Smith received his Ph.D. in Computer Science in 1998. He is an associate professor of Interactive Artificial Intelligence and Head of the Artificial Intelligence Research Group in the Dept. of Computer Science and Creative Technologies of The University of the West of England, Bristol. His work has combined theoretical modelling with empirical studies in a number of areas, especially concerning self-adaptive and hybrid systems that "learn how to learn". His current research interests include optimization; machine learning and classification; memetic algorithms; statistical disclosure control; VLSI design verification; adaptive image segmentation and classification and computer vision systems for production quality control; and bioinformatics problems such as protein structure prediction and protein structure comparison.
De la contraportada
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field.
The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
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Introduction to Evolutionary Computing
Publicado por
Springer Berlin Heidelberg Okt 2016, 2016
ISBN 10: 3662499851
ISBN 13: 9783662499856
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and 'how-to' chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field.The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization. 304 pp. Englisch. Nº de ref. del artículo: 9783662499856
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Introduction to Evolutionary Computing (Natural Computing Series)
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Introduction to Evolutionary Computing
Publicado por
Springer Berlin Heidelberg, 2016
ISBN 10: 3662499851
ISBN 13: 9783662499856
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and 'how-to' chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field.The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization. Nº de ref. del artículo: 9783662499856
Cantidad disponible: 1 disponibles
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Introduction to Evolutionary Computing (Natural Computing Series)
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Introduction to Evolutionary Computing (Paperback or Softback)
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Springer 10/17/2016, 2016
ISBN 10: 3662499851
ISBN 13: 9783662499856
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Paperback or Softback. Condición: New. Introduction to Evolutionary Computing 0.94. Book. Nº de ref. del artículo: BBS-9783662499856
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Introduction to Evolutionary Computing
Publicado por
Springer Berlin Heidelberg, 2016
ISBN 10: 3662499851
ISBN 13: 9783662499856
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. New edition of well-established undergraduate textbook revised to offer an integrated view on evolution-based problem-solving algorithmsIncludes a new chapter on evolutionary roboticsCombines chapters on parameter tuning and control with h. Nº de ref. del artículo: 252931628
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Introduction to Evolutionary Computing
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Introduction to Evolutionary Computing
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Introduction to Evolutionary Computing
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Introduction to Evolutionary C
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Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00080264226
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