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Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.
- Sales Rank: #1410282 in eBooks
- Published on: 2006-02-03
- Released on: 2006-02-03
- Format: Kindle eBook
About the Author
Kenneth A. De Jong is Professor of Computer Science at George Mason University and the founding editor of the journal Evolutionary Computation (MIT Press).
Most helpful customer reviews
1 of 1 people found the following review helpful.
A Unified Approach-At Last!
By Serbanescu Alexandru
I have read some excellent books and survey papers describing particular domains of the evolutionary computation field, but this book try to give us a "Unified Approach" of this field.
I find very interesting the author's idea to model the evolutionary process with a dynamic (nonlinear!)system so that "...given particular initial conditions the system follows a trajectory over time through a complex evolutionary state space. One can than study various aspects of these processes such as their convergence properties, their sensitivity to initial conditions, their transient behavior and so on."[pg. 2 of the book]. And, I can add, why not "chaotically behaviors".
Prof. Alexandru Serbanescu, Ph.D.,
IEEE Senior Member of CAS and Computational Intelligence Societies
2 of 4 people found the following review helpful.
Great book for a theoretical overview
By W. Ghost
This book shows a unified view of genetic algorithms, genetic programming, and related fields. It includes some discussion of the historical development of the disciplines and presents the theory behind them.
However, while it does fit an undergrad course, it is not a book for practitioners, since most algorithms are not explained in detail.
0 of 0 people found the following review helpful.
Great EA book
By WRoberts
Excellent book. I've read this book numerous times and always find something new buried in it.
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