Genetic Algorithms - Principles and Perspectives
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Title: Genetic Algorithms - Principles and Perspectives
Description:
A Guide to GA Theory (Operations Research/Computer Science Interfaces Series)
Pages: 344
Genetic Algorithms (GAs) have become a highly effective tool for solving hard optimization
problems. As their popularity has increased, the number of GA applications has grown in more
than equal measure. Genetic Algorithm theory, however, has not kept pace with the growing use
and application of GAs. Most book-length treatments of GAs provide only a cursory discussion of
theory and this discussion primarily focuses on the traditional view, which depends heavily on
the concept of a "schema".
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some
important theoretical contributions, many of which have been proposed and developed in the
Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still
rather fragmented, and the authors believe that it is the right time to provide the field with
a systematic presentation of the current state of theory in the form of a set of theoretical
perspectives. The authors do this in the interest of providing students and researchers with a
balanced foundational survey of some recent research on GAs. The scope of the book includes
chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov
Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA
Performance, Landscapes and Test Problems.
The authors have worked hard to make the book as accessible as possible for students and
researchers. An undergraduate-level mathematical understanding of linear algebra and stochastic
processes is assumed. For those readers who have not encountered GAs before, a comprehensive
survey of GA concepts is provided and the variety of ways in which GAs can be implemented is
outlined. Exercises are provided at the ends of the chapters with the express purpose of aiding
understanding of the concepts discussed and to whet the reader's appetite for pursuing
theoretical research in GAs.
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