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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