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Book Cover
Author Fogel, David B.

Title Evolutionary computation : toward a new philosophy of machine intelligence / David B. Fogel
Edition Third edition
Published Hoboken, N.J. : John Wiley & Sons, [2006]
Online access available from:
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Description 1 online resource (xvii, 274 pages) : illustrations
Series IEEE Press series on computational intelligence
IEEE series on computational intelligence.
Contents Defining artificial intelligence -- Natural evolution -- Computer simulation of natural evolution -- Theoretical and empirical properties of evolutionary computation -- Intelligent behavior -- Perspective
Summary This Third Edition provides the latest tools and techniques that enable computers to learnThe Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does.Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers.As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation.The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well.This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook
Notes "IEEE Neural Networks Council, sponsor."
Bibliography Includes bibliographical references and index
Subject Computer simulation.
Artificial intelligence.
Evolutionary computation.
Form Electronic book
Author IEEE Neural Networks Council.
John Wiley & Sons.
LC no. 2006283253
ISBN 0471749214 (electronic bk.)
9780471749219 (electronic bk.)