"In this revised and significantly expanded second edition, distinguished scientist Dr. David B. Fogel presents the latest advances in both the theory and practice of evolutionary computation to help you keep pace with the most recent developments in this fast-changing field. In-depth and updated, EVOLUTIONARY COMPUTATION shows you how to use simulated evolution to achieve machine intelligence. You will gain current insights into the history of evolutionary computation and the newest theories shaping research today. Fogel thoroughly reviews the ""no free lunch"" theorem and includes a discussion of findings that challenge the very foundations of simulated evolution. This second edition also presents the latest game-playing techniques that combine evolutionary algorithms with neural networks, including their success in playing competitive checkers. Chapter by chapter, this comprehensive book highlights the relationship between learning and intelligence.
EVOLUTIONARY COMPUTATION features an unparalleled integration of history with state-of-the-art theory and practice for engineers, professors, and graduate students of evolutionary computation and computer science who need to keep up to date in this developing field." Sponsored by: IEEE Neural Networks Council
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Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
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Maße
Höhe: 237 mm
Breite: 160 mm
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ISBN-13
978-0-7803-5379-4 (9780780353794)
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Schweitzer Klassifikation
About the Author David B. Fogel is executive vice president and chief scientist at Natural Selection, Inc., La Jolla, California, Dr. Fogel has published over 125 papers on evolutionary computation in journals and conferences and is the author of three books, most recently Evolutionary Computation: The Fossil Record (IEEE Press, 1998). He is coeditor in chief of the Handbook of Evolutionary Computation (Oxford, 1997) and the founding editor in chief of the IEEE Transactions on Evolutionary Computation. Dr. Fogel was the founding president of the Evolutionary Programming Society (1991) and is an associate member of the Center for the Study of Evolution and the Origin of Life (CSEOL) at the University of California at Los Angeles. He was elected a Fellow of the IEEE in 1999.
Preface to the Second Edition. Preface to the First Edition. Acknowledgments. Defining Artificial Intelligence. Natural Evolution. Computer Simulation of Natural Evolution. Theoretical and Empirical Properties of Evolutionary Computation. Intelligent Behavior. Perspective. Glossary. Index. About the Author.
