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BIO-INSPIRED COMPUTATIONAL ALGORITHMS AND THEIR APPLICATIONS Edited by Shangce Gao Bio-Inspired Computational Algorithms and Their Applications Edited by Shangce Gao Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Marina Jozipovic Technical Editor Teodora Smiljanic Cover Designer InTech Design Team First published February, 2012 Printed in Croatia A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechweb.org Bio-Inspired Computational Algorithms and Their Applications, Edited Shangce Gao p. cm. ISBN 978-953-51-0214-4 Contents Preface IX Part 1 Recent Development of Genetic Algorithm 1 Chapter 1 Chapter 2 The Successive Zooming Genetic Algorithm and Its Applications 3 Young-Doo Kwon and Dae-Suep Lee The Network Operator Method for Search of the Most Suitable Mathematical Equation 19 Askhat Diveev and Elena Sofronova Chapter 3 Chapter 4 Chapter 5 Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation 43 Esther Lugo-González, Emmanuel A. Merchán-Cruz, Luis H. Hernández-Gómez, Rodolfo Ponce-Reynoso, Christopher R. Torres-San Miguel and Javier Ramírez-Gordillo The Roles of Crossover and Mutation in Real-Coded Genetic Algorithms 65 Yourim Yoon and Yong-Hyuk Kim A Splicing/Decomposable Binary Encoding and Its Novel Operators for Genetic and Evolutionary Algorithms 83 Yong Liang Chapter 6 Genetic Algorithms: An Overview with Applications in Evolvable Hardware 105 Popa Rustem Part 2 New Applications of Genetic Algorithm 121 Chapter 7 Tune Up of a Genetic Algorithm to Group Documentary Collections 123 José Luis Castillo Sequera ... - tailieumienphi.vn
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