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Springer - Introduction To Genetic Algorithms - 2008.pdf

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Springer - Introduction To Genetic Algorithms - 2008.pdf

文档介绍

文档介绍:Introduction to ic Algorithms
·
Introduction to ic
Algorithms
With 193 Figures and 13 Tables
Authors

Professor and Head Scholar Dept. puter Science
Dept. puter Science and Engineering and Engineering
PSG College of Technology PSG College of Technology
Coimbatore - 641 004 Coimbatore - 641 004
TN, India TN, India
Library of Congress Control Number: 2007930221
ISBN 978-3-540-73189-4 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,
reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication
or parts thereof is permitted only under the provisions of the German Copyright Law of September 9,
1965, in its current version, and permission for use must always be obtained from Springer. Violations
are liable for prosecution under the German Copyright Law.
Springer is a part of Springer Science+Business Media
c Springer-Verlag Berlin Heidelberg 2008
The use of general descriptive names, registered names, trademarks, etc. in this publication does not
imply, even in the absence of a specific statement, that such names are exempt from the relevant protective
laws and regulations and therefore free for general use.
Typesetting: Integra Software Services Pvt. Ltd., India
Cover design: Erich Kirchner, Heidelberg
Printed on acid-free paper SPIN: 12053230 89/3180/Integra 5 4 3 2 1 0
Preface
The origin of evolutionary algorithms was an attempt to mimic some of the processes
taking place in natural evolution. Although the details of biological evolution are
pletely understood (even nowadays), there exist some points supported by
strong experimental evidence:
• Evolution is a process operating over chromosomes rather than anisms.
The former anic tools en

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