This book is the first in the field to provide extensive, entry level tutorials to the theory of Evolutionary Computing, covering the main approaches to understanding the dynamics of Evolutionary Algorithms. It combines this with recent, previously unpublished research papers based on the material of the tutorials. The outcome is a book which is self-contained to a large degree, attractive both to graduate students and researchers from other fields who want to get acquainted with the theory of Evolutionary Computing, and to active researchers in the field who can use this book as a reference and a source of recent results.
Statistical Physics, Dynamical Systems and Complexity
Computer Appl. in Life Sciences
Operations Research/Decision Theory A self-contained snapshot of the state of the art in the theory of Evolutionary Computing<BR>Gives an overview of differing approaches to the theory of Evolutionary Algorithms<BR>With extensive entry level tutorials wri
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