Computational Intelligence for Engineering Systems Emergent Applicat
Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and
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International Series on
INTELLIGENT SYSTEMS, CONTROL, AND AUTOMATION: SCIENCE AND ENGINEERING VOLUME 46
Editor: Professor S.G. Tzafestas, National Technical University of Athens, Athens, Greece
Editorial Advisory Board Professor P. Antsaklis, University of Notre Dame, Notre Dame, IN, USA Professor P. Borne, Ecole Centrale de Lille, Lille, France Professor D.G. Caldwell, University of Salford, Salford, UK Professor C.S. Chen, University of Akron, Akron, Ohio, USA Professor T. Fukuda, Nagoya University, Nagoya, Japan Professor S. Monaco, University La Sapienza, Rome, Italy Professor G. Schmidt, Technical University of Munich, Munich, Germany Professor S.G. Tzafestas, National Technical University of Athens, Athens, Greece Professor F. Harashima, University of Tokyo, Tokyo, Japan Professor N.K. Sinha, McMaster University, Hamilton, Ontario, Canada Professor D. Tabak, George Mason University, Fairfax, Virginia, USA Professor K. Valavanis, University of Denver, Denver, USA
For other titles published in this series, go to www.springer.com/series/6259
Ana Madureira • Judite Ferreira • Zita Vale Editors
Computational Intelligence for Engineering Systems Emergent Applications
Editors Ana Madureira Computer Science Department School of Engineering-Polytechnic of Porto Porto-Portugal [email protected]
Judite Ferreira Electrical Engineering Department School of Engineering-Polytechnic of Porto Porto-Portugal [email protected]
Zita Vale Electrical Engineering Department School of Engineering-Polytechnic of Porto Porto-Portugal [email protected]
ISBN 978-94-007-0092-5 e-ISBN 978-94-007-0093-2 DOI 10.1007/978-94-007-0093-2 Springer Dordrecht Heidelberg London New York © Springer Science+Business Media B.V. 2011 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Cover design: Spi Publisher Services Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface Computational Intelligence can be seen as a science, as it seeks, studies and tries to understand the phenomenon of intelligence, and as a branch of engineering, as it seeks to build tools to assist and support human intelligence. Providing computers with intelligence that might be useful to human activity is the major goal of Computational Intelligence research projects. The complexity of current computer systems has led software engineering, distributed systems and management communities to look for inspiration in diverse fields, such as robotics, artificial intelligence or biology, in order to find new ways of designing and managing systems. Looking at processes that can be found in nature, it is possible to try to understand and mimic them to solve complex problems on
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