Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming (Wiley Series on Intelligent Systems) - Hardcover

Fogel, Lawrence J

 
9780471332503: Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming (Wiley Series on Intelligent Systems)
Hardcover
ISBN 10: 047133250X ISBN 13: 9780471332503
Verlag: John Wiley & Sons, 1999

Inhaltsangabe

Evolutionary programming is a means for finding solutions to difficult computational problems by first guessing a solution, evaluating its effectiveness at solving the problem, and then allowing the data to "evolve," perhaps into a better solution. This continues until no better solutions exist or one reaches the point of diminishing returns. In this book, Dr. Fogel, one of the inventors of evolutionary programming, looks at the evolution of the field since its inception 40 years ago.

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Über die Autorin bzw. den Autor

LAWRENCE J. FOGEL, PhD, is President of Natural Selection, Inc., La Jolla, California.

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A unique, one-stop reference to the history, technology, and application of evolutionary programming

Evolutionary programming has come a long way since Lawrence Fogel

first proposed in 1961 that intelligence could be modeled on the natural process of evolution. Efforts to apply this innovative approach to artificial intelligence have also evolved over the years, and the advent of fast desktop computers capable of solving complex computational problems has spawned an explosion of interest in the field.

Offering the unique perspective of one of the inventors of evolutionary programming, this remarkable work traces forty years of developments in the field. Dr. Fogel consolidates a wealth of information and hard-to-find figures from across the literature, providing comprehensive coverage of the evolutionary programming approach to simulated evolution. This includes both an updated, condensed version of his bestselling 1966 work, Artificial Intelligence Through Simulated Evolution (with Owens and Walsh), and a thorough discussion of the history, technology, and methods of machine learning from 1970 to the present.

This important resource features clear, up-to-date explanations of how the simulation of evolutionary processes allows machines to learn to solve new problems in new ways. And it helps readers make the leap to generating intelligent systems-extending the discussion to neural networks, fuzzy logic, and genetic algorithms development. Engineers and computer scientists in all areas of machine learning will gain invaluable insight into existing and emerging applications and obtain ample ideas to draw upon in future research.

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Verlag
John Wiley & Sons
Erscheinungsdatum
1999
Sprache
Englisch
ISBN 10 
047133250X
ISBN 13 
9780471332503
Einband
Gebundene Ausgabe
Anzahl der Seiten
162
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Verantwortliche Person
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