Wave-Front Correction Based on Improved Particle Swarm Optimization

Particle Swarm Optimization (PSO) is faster than Genetic Algorithm while GA obtains global convergence more easily than PSO in application of wave-front correction. Basic PSO is improved by using of selection, crossover, and mutation operator of GA. An ad

  • PDF / 27,499,868 Bytes
  • 976 Pages / 439.37 x 666.142 pts Page_size
  • 83 Downloads / 208 Views

DOWNLOAD

REPORT


For further volumes: http://www.springer.com/series/7818

Wei Lu Guoqiang Cai Weibin Liu Weiwei Xing •





Editors

Proceedings of the 2012 International Conference on Information Technology and Software Engineering Information Technology & Computing Intelligence

123

Editors Wei Lu Beijing Jiaotong University Beijing People’s Republic of China

Guoqiang Cai Beijing Jiaotong University Beijing People’s Republic of China

Weibin Liu Beijing Jiaotong University Beijing People’s Republic of China

Weiwei Xing Beijing Jiaotong University Beijing People’s Republic of China

ISSN 1876-1100 ISBN 978-3-642-34521-0 DOI 10.1007/978-3-642-34522-7

ISSN 1876-1119 (electronic) ISBN 978-3-642-34522-7 (eBook)

Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012950857 Ó Springer-Verlag Berlin Heidelberg 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)

Committees

Honorary Chair Yaoxue Zhang, Central South University, China General Chairs Wei Lu, Beijing Jiaotong University, China Jianhua Ma, Hosei University, Japan Steering Committee Chairs Zengqi Sun, Tsinghua University, China Shi-Kuo Chang, University of Pittsburgh, Knowledge Systems Institute, USA Mirko Novak, Institute of Computer Science, Czech Academy of Sciences, Czech Republic