Learning and Intelligent Optimization

8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers

  • Panos M. Pardalos
  • Mauricio G.C. Resende
  • Chrysafis Vogiatzis
  • Jose L. Walteros
Conference proceedings LION 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8426)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 8426)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
    Pages 1-15
  3. Lars Kotthoff
    Pages 16-20
  4. Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro
    Pages 21-35
  5. Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown et al.
    Pages 36-40
  6. Daniel Geschwender, Frank Hutter, Lars Kotthoff, Yuri Malitsky, Holger H. Hoos, Kevin Leyton-Brown
    Pages 41-46
  7. Sam Bayless, Dave A. D. Tompkins, Holger H. Hoos
    Pages 47-61
  8. Zhi Yuan, Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau
    Pages 62-76
  9. William W. Hager, James T. Hungerford, Ilya Safro
    Pages 77-81
  10. Nerijus Galiauskas, Julius Žilinskas
    Pages 82-87
  11. Valery A. Kalygin, Alexander P. Koldanov, Panos M. Pardalos
    Pages 88-97
  12. Petr A. Koldanov, Grigory A. Bautin
    Pages 98-110
  13. Pablo San Segundo, Alvaro Lopez, Mikhail Batsyn
    Pages 111-120
  14. Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann
    Pages 153-156
  15. Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle
    Pages 157-172
  16. Bernd Bischl, Simon Wessing, Nadja Bauer, Klaus Friedrichs, Claus Weihs
    Pages 173-186
  17. David Meignan, Silvia Schwarze, Stefan Voß
    Pages 187-202

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective optimization; metaheuristics; graphs and networks; logistics and transportation; and biomedical applications.

Keywords

SAT solving artificial intelligence combinatorial algorithms constraints decision analysis dynamic programming feature selection machine learning support vector machines transportation

Editors and affiliations

  • Panos M. Pardalos
    • 1
  • Mauricio G.C. Resende
    • 2
  • Chrysafis Vogiatzis
    • 3
  • Jose L. Walteros
    • 4
  1. 1.Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA
  2. 2.AT&T Labs ResearchMiddletownUSA
  3. 3.University of FloridaGainesvilleUSA
  4. 4.Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09584-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-09583-7
  • Online ISBN 978-3-319-09584-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book