A Fuzzy Hybrid Method for Image Decomposition Problem

We use an hybrid approach based on a genetic algorithm and on the gradient descent method in order to decompose an image. In the pre-processing phase the genetic algorithm is used for finding two suitable initial families of fuzzy sets that decompose R in

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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany

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Mario Giacobini et al. (Eds.)

Applications of Evolutionary Computing EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog Naples, Italy, March 26-28, 2008 Proceedings

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Cover illustration: "Ammonite II" by Dennis H. Miller (2004-2005) www.dennismiller.neu.edu

Library of Congress Control Number: Applied for CR Subject Classification (1998): F.1, D.1, B, C.2, J.3, I.4, J.5 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13

0302-9743 3-540-78760-7 Springer Berlin Heidelberg New York 978-3-540-78760-0 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, re-use of illustrations, recitation, broadcasting, reproduction on microfilms 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 to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12245185 06/3180 543210

Volume Editors

Mario Giacobini Dept. of Animal Production, Epidemiology and Ecology University of Torino, Italy [email protected]

Andreas Fink Fac. of Economics & Social Sciences Helmut-Schmidt-University Hamburg, Germany andreas.fi[email protected]

Anthony Brabazon School of Business University College Dublin, Ireland [email protected]

Jon McCormack Clayton School of Information Technology Monash University, Clayton, Australia [email protected]

Stefano Cagnoni Dept. of Computer Engineering University of Parma, Italy [email protected] Gianni A. Di Caro ”Dalle Molle” Institute for Artificial Intelligence (IDSIA) Lugano, Switzerland gian