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Author:   Christopher Stephens ,  Riccardo Poli
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. 2021
ISBN:  

9783642173608

ISBN 10:   3642173608
Pages:   480
Publication Date:   12 December 2017
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

Introduction.- Natural Evolutionary Dynamics.- Artificial Evolutionary Dynamics.- Models of Search Spaces, Population Spaces and State Spaces.- Models of Crossover.- Models of Mutation.- Models of Selection.- Search Algorithms with Fixed-Length Representations.- Microscopic Models.- Coarse Graining.- Genetic Dynamics.- Building Blocks.- Recombination and Mutation.- Evolutionary Algorithms.- Search Biases.- Evolutionary Dynamics and Signal Processing.- Lessons for Biology.- Conclusions and Challenges.- App. A Fitness Landscapes.- App. B Mathematical Preliminaries.- References.- Index.

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Author Information

The authors are among the top theoreticians in the field of evolutionary computation. The first author, a physicist, specializes in statistical mechanics, complex systems, multiscale phenomena, and dynamic optimization. The second author, a computer scientist, has over 250 refereed publications on evolutionary computing, artificial intelligence, artificial life, neural networks, biomedical engineering, etc., and his coauthored book Foundations of Genetic Programming was the first book to present a theory of genetic programming.

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