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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms Tapa dura - 1996
de Thomas Back
Primera línea
Evolutionary Algorithms (EAs), the topic of this work, is an interdisciplinary research field with a relationship to biology, Artificial Intelligence, numerical optimization, and decision support in almost any engineering discipline.
Detalles
- Título Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
- Autor Thomas Back
- Encuadernación Tapa dura
- Edición First Edition
- Páginas 328
- Volúmenes 1
- Idioma ENG
- Editorial Oxford University Press, USA, -
- Fecha de publicación 1996-01-11
- Ilustrado Sí
- Features Bibliography, Illustrated, Index
- ISBN 9780195099713 / 0195099710
- Peso 1.31 libras (0.59 kg)
- Dimensiones 9.62 x 6.4 x 0.94 pulgadas (24.43 x 16.26 x 2.39 cm)
- Library of Congress subjects Genetic algorithms, Evolution (Biology) - Mathematical models
- Número de catálogo de la Librería del Congreso de EEUU 95013506
- Dewey Decimal Code 006.3
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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
de Back, Thomas; Bdck, Thomas; B?ck, Thomas
- Usado
- Muy bueno
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- Usado - Muy bueno
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- Hardcover
- ISBN 10 / ISBN 13
- 9780195099713 / 0195099710
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Seattle, Washington, United States
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EUR 12.90Envío gratuito a USA
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Oxford University Press, USA, 1996. Hardcover. Very Good. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
de Back, Thomas
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- Usado - Bien
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- 9780195099713 / 0195099710
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Newport Coast, California, United States
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EUR 60.44Envío gratuito a USA
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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
de Thomas Bäck
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Morangis, France
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EUR 114.19EUR 11.33 enviando a USA
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Oxford University Press Inc, 1996. Very Good. Former library book. Slight signs of wear on the cover. No dust jacket. Different cover. Edition 1996. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
de Back, Thomas
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- Nuevo
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- 9780195099713 / 0195099710
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San Diego, California, United States
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EUR 129.42EUR 5.14 enviando a USA
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Oxford University Press, 1996-01-11. Hardcover. New. New. In shrink wrap. Looks like an interesting title!
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EUR 5.14
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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
de Thomas Back
- Nuevo
- Tapa dura
- Estado
- Nuevo
- Encuadernación
- Hardcover
- ISBN 10 / ISBN 13
- 9780195099713 / 0195099710
- Cantidad disponible
- 713
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Uxbridge, Greater London, United Kingdom
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EUR 272.15EUR 9.61 enviando a USA
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Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms.
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EUR 272.15
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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
de Back, Thomas
- Usado
- as new
- Tapa dura
- First
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- Nuevo
- Edición
- First Edition
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- ISBN 10 / ISBN 13
- 9780195099713 / 0195099710
- Cantidad disponible
- 1
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Hygiene, Colorado, United States
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EUR 224.15EUR 14.11 enviando a USA
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Descripción:
Oxford, UK: Oxford University Press, 1996. Scholarly highly acclaimed text presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms, showing how mutation seems to be much more important for the performance of genetic algorithms than usually assumed. The interaction of selection and mutation, and the impact of the binary code are further topics of interest. Some of the theoretical results are also confirmed by…
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EUR 224.15
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