Genetic Algorithms: Principles and Perspectives
Reeves, Colin R.; Rowe, Jonathan E.
ISBN 10: 147577818X ISBN 13: 9781475778182
Editorial: Springer-Verlag New York Inc., 2013
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Descripción
Descripción:
Series: Operations Research/Computer Science Interfaces Series. Num Pages: 332 pages, 4 black & white illustrations, biography. BIC Classification: KJT; PBT; PBU; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 534. . 2013. Softcover reprint of the original 1st ed. 2002. Paperback. . . . . Books ship from the US and Ireland. N° de ref. del artículo V9781475778182
Sinopsis:
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.
Reseña del editor: Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.
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Detalles bibliográficos
Título: Genetic Algorithms: Principles and ...
Editorial: Springer-Verlag New York Inc.
Año de publicación: 2013
Encuadernación: Encuadernación de tapa blanda
Condición: New
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