Learning and Intelligent Optimization Third International Conference
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 optim
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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 TU Dortmund University, Germany Madhu Sudan Microsoft Research, Cambridge, 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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Thomas Stützle (Ed.)
Learning and Intelligent Optimization Third International Conference, LION 3 Trento, Italy, January 14-18, 2009 Selected Papers
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Volume Editor Thomas Stützle IRIDIA CoDE Université Libre de Bruxelles Avenue F. Roosevelt 50 CP 194/6 1050 Brussels, Belgium E-mail: [email protected]
Library of Congress Control Number: 2009940453 CR Subject Classification (1998): H.2.8, I.2.6, I.2.8, F.2.2, H.3.3, G.1.6 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13
0302-9743 3-642-11168-8 Springer Berlin Heidelberg New York 978-3-642-11168-6 Springer Berlin Heidelberg New York
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Preface
LION 3, the Third International Conference on Learning and Intelligent OptimizatioN, was held during January 14–18 in Trento, Italy. The LION series of conferences provides a platform for researchers who are interested in the intersection of efficient optimization techniques and learning. It is aimed at exploring the boundaries and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. The considerable interest in the topics covered by LION was reflected by the overwhelming number of 86 submissions, which almost doubled the 48 submissions received for LION’s second edition in December 2007. As in the first two editions, the submissions to LION 3 could be in three
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