Evolutionary Computation: Toward a New Philosophy of Machine Intelligence (IEEE Press Series on Computational Intelligence) - Hardcover

Fogel, David B.

Hardcover

ISBN 10: 0471669512 ISBN 13: 9780471669517

Publisher: Wiley-IEEE Press, 2006

Synopsis

This Third Edition provides the latest tools and techniques that enable computers to learn The 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...

About this title

Review

"...a major contribution to the evolutionary computation literature...recommended reading for experienced researchers, as well as novice students..." (Computing Reviews.com, May 26, 2006)

From the Author

Colleagues' comments on "Evolutionary Computation"
This book was chosen as a feature selection of the Library of Science Bookclub, and I have had very many positive comments on this effort to integrate evolutionary computation with machine intelligence. I'm grateful for each. Some of these comments are listed below. I look forward to receiving feedback from readers before embarking on the 2nd edition later in 1998. Thanks very much -- DF

Peer Review:

"Currently, there are three main streams of evolutionary algorithms, i.e., evolutionary programming, genetic algorithms, and evolution strategies. Besides Lawrence Fogel's book of 1966, David Fogel's new book is THE reference book on evolutionary programming. It also looks into the broader perspective of evolutionary computation as a whole and links that field to machine learning, as well. The book is a must for all who are interested in practicable techniques for solving complex optimization problems."
- Dr. Hans-Paul Schwefel
University of Dortmund, Germany
Author of Evolution and Optimum Seeking  
1995 Recipient of the Evolutionary Programming Society's Lifetime Achievement Award

"Evolutionary Computation covers the various component technologies of the field in a comprehensive, yet understandable way. I find myself referring back to it repeatedly."
- Dr. Russ Eberhart, Indiana University, Purdue University Indianapolis      
Past-President of IEEE Neural Networks Council      
General Chairman of the 1997 IEEE Conference on Evolutionary Computation

"An easy to read and well referenced book ... highly recommended ... for both novice and practitioners, [it] will inspire the reader to further explore this new emerging methodology."
- Dr. Yianni Attikiouzel
University of Western Australia
General Chairman of 1995 IEEE Conferences on Neural Networks/Evolutionary Computation

"Fogel's treatment of evolutionary programming is a landmark, not only for its contribution to the field per se, but as well for its comprehensive historical treatment and for its broad perspective. This work has been instrumental in bringing together the different lines of work that are flowing together to form the modern era of evolutionary computation."
- Dr. Michael Conrad
Wayne State University
co-Editor-in-Chief, BioSystems

"The book by Fogel is very different in comparison with all existing volumes on evolutionary computation; it has a philosophical flavor and aims at exploring a connection between evolution and intelligence. ... I would like to recommend this interesting and thought provoking book to all potential readers."
- Dr. Zbigniew Michalewicz
University of North Carolina, Charlotte      
Author of Genetic Algorithms + Data Structures = Evolution Programs      
General Chairman of the First IEEE Conference on Evolutionary Computation, 1994.

"The historical account of evolutionary computation is the most thorough and even-handed I have seen. ... When I work, I always have David Fogel's book close at hand. I own other standard references, but I rarely have call to use them. ... The book is not a text, but I had my graduate students in evolutionary computation read and discuss parts of it. The results were excellent. ... I suspect there is no one working in the field of evolutionary computation who can match David Fogel's knowledge of biology and evolutionary theory. The book's second chapter, a truly learned discussion of natural evolution from the perspective of simulated evolution, probably qualifies as something new under the sun."
- Dr. Thomas M. English
Texas Tech University

"In 'Evolutionary Computation: Toward a New Philosophy of Machine Intelligence' David Fogel gives a clear account of the state of the art in research in the rapidly evolving field of Evolutionary Computation. The book covers both theoretical and empirical aspects of the most successful evolution-based computational paradigms: Evolutionary Programming, Evolution Strategies, and Genetic Algorithms. With this work, David Fogel put Evolutionary Computation in perspective, delineating its important role in Artificial Intelligence."
- Dr. Marco Dorigo
IRIDIA, Belgium

"This is an exciting tour of the field of evolutionary computation that is accessible to the novice yet even veteran 'evolutionists' will find much to savor. It should become a classic within the field."
- Dr. Robert G. Reynolds
Wayne State University
Co-Editor, Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming

"This book is important, not only for what it says, but for the turning point that it undoubtedly represents. Evolutionary theory within classical biology has taken an increasingly degenerate view of the roles of selection and competition in natural populations over the last several decades. The concepts of progressivity, adaptation, and optimization-of-design have all been steadily devalued in the post-Neo-Darwinian discussion, a slow revolution in thought led by only a very few eloquent and prolific biologists. Simulations of evolution however have a pronounced tendency to quickly refocus one's view of what attributes of evolution are truly primary -- and which are merely secondary. Behavior, as Fogel argues, is the quality shaped by evolution, and as this book demonstrates, behaviors of extraordinary quality can evolve at surprising speeds under moderate selection pressures. The simulations and philosophy discussed in this book, along with others of its kind, cannot help but ultimately reshape and reorient the biological discussion to a more realistic portrayal of the evolutionary process."
- Dr. Wirt Atmar
AICS Research, Inc.
University Park, NM
and The Center for Evolutionary and Environmental Biology
The Field Museum of Natural History
Chicago

"Evolutionary Computation: Toward a New Philosophy of Machine Intelligence is a fascinating book that I recommend as a must for everybody who is interested in the fields of evolutionary computation, evolutionary biology, and computational intelligence, including also engineers from arbitrary disciplines who are looking for powerful optimization methods to solve highly complex practical problems.

Dr. Fogel provides an excellent introduction to all main representatives of evolutionary algorithms, i.e., genetic algorithms, evolution strategies, and evolutionary programming, summarizes important theoretical knowledge about these methods, and compares them with each other both practically and by clearly identifying their relative advantages and disadvantages. The technical descriptions of the algorithms are perfectly embedded within a description of the fundamental background of evolutionary biology and the author's ultimate argument that intelligence, defined as the capability of a system to adapt its behavior to meet its goals in a range of environments, can be achieved by evolutionary computation methods. This argument is impressively supported by application examples ranging from evolutionary identification and control to game playing and time series prediction.

This great book encourages us to look at evolutionary computation from an unusual point of view. Read it, satisfy your curiosity, learn a lot about evolutionary computation, and benefit from the huge amount of expertise that Dr. Fogel makes publicly available here!"
- Dr. Thomas Baeck
Informatik Centrum Dortmund, Germany
Author of Evolutionary Algorithms in Theory and Practice

Edition details

• Publisher: Wiley-IEEE Press
• Publication date: 2006
• ISBN 10: 0471669512
• ISBN 13: 9780471669517
• Binding: Hardcover
• Language: English
• Edition number: 3
• Number of pages: 296