Description
Fogol (founder of the Evolutionary Prgramming Society in 1991, among other endeavors in the field) argues that the process of evolution accounts for intelligent behavior and provides the foundation for the design of artificially intelligent machines. As evidence, he presents recent advances in both the theory and practice of evolutionary computation. The book discusses the history of evolutionary computation, the connections between simulated evolution and machine intelligence, and current game-playing techniques that combine evolutionary algorithms with neural networks. This second edition is substantially expanded (the date of the first is not cited). Annotation c. Book News, Inc., Portland, OR (booknews.com)
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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 Computationfeatures 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.
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