Learning and Intelligent Optimization

Third International Conference, LION 3, Trento, Italy, January 14-18, 2009. Selected Papers

  • Thomas Stützle

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5851)

Table of contents

  1. Front Matter
  2. Evolutionary Dynamics of Extremal Optimization

    1. Vasileios L. Georgiou, Sonia Malefaki, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
      Pages 30-44
    2. Luca Di Gaspero, Andrea Roli
      Pages 74-88
    3. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
      Pages 148-162
    4. Marco Caserta, Stefan Voß
      Pages 163-175
    5. Álvaro Fialho, Luis Da Costa, Marc Schoenauer, Michèle Sebag
      Pages 176-190
    6. Cédric Chevalier, Ilya Safro
      Pages 191-205
    7. Antonio D. Masegosa, Franco Mascia, David Pelta, Mauro Brunato
      Pages 206-220
  3. MALIOB Workshop Papers

    1. Alberto J. M. Martin, Alessandro Vullo, Gianluca Pollastri
      Pages 235-248
    2. Stephan Kitchovitch, Yuedong Song, Richard van der Wath, Pietro Liò
      Pages 259-272

About these proceedings

Introduction

LION 3, the Third International Conference on Learning and Intelligent Op- mizatioN, was held during January 14–18 in Trento, Italy. The LION series of conferences provides a platform for researchers who are interested in the int- section of e?cient optimization techniques and learning. It is aimed at exploring the boundaries and uncharted territories between machine learning, arti?cial intelligence, mathematical programming and algorithms for hard optimization problems. The considerable interest in the topics covered by LION was re?ected by the overwhelming number of 86 submissions, which almost doubled the 48 subm- sions received for LION’s second edition in December 2007. As in the ?rst two editions, the submissions to LION 3 could be in three formats: (a) original novel and unpublished work for publication in the post-conference proceedings, (b) extended abstracts of work-in-progressor a position statement, and (c) recently submitted or published journal articles for oral presentations. The 86 subm- sions received include 72, ten, and four articles for categories (a), (b), and (c), respectively.

Keywords

Variable algorithms evolutionary algorithm heuristics intelligence learning optimization

Editors and affiliations

  • Thomas Stützle
    • 1
  1. 1.IRIDIA, CoDEUniversité Libre de BruxellesBrusselsBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-11169-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-11168-6
  • Online ISBN 978-3-642-11169-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book