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Genetic Algorithms, Principles and Perspectives
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Table of Contents

Basic Principles.- Schema Theory.- No Free Lunch for GAs.- GAs as Markov Processes.- The Dynamical Systems Model.- Statistical Mechanics Approximations.- Predicting GA Performance.- Landscapes.- Summary.

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