Evolutionary Computation: A Unified Approach
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.
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Evolutionary Computation: A Unified Approach brings together a summarized view of three distinct fields of Evolutionary Computing (EC)- Evolutionary Strategies (ES), pioneered by Rechenberg and Schwefel, Evolutionary Programming (EP), pioneered by Fogel and Genetic Algorithms (GA) pioneered by John Holland. A fundamental book such as this one helps the EA researcher to sit back and identify the fundamental principles of these different algorithms. Throughout the book, a unified view of the fields is presented and thus this book is a must read for the evolutionary computing researcher- novice, like me or the experienced. This book explores a very experimental approach to the study of these algorithms and is thus easy to follow, almost like reading a novel for the EA researcher.
Detailed review at http://amitksaha.wordpress.com/2010/02/28/book-review-evolutionary-computation-a-unified-approach/
A Historical Perspective
Canonical Evolutionary Algorithms
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