© 2008

Learning and Intelligent Optimization

Second International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers

  • Vittorio Maniezzo
  • Roberto Battiti
  • Jean-Paul Watson
Conference proceedings LION 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5313)

Table of contents

  1. Front Matter
  2. Sameh Al-Shihabi, Peter Merz, Steffen Wolf
    Pages 1-11
  3. Enrico Bartolini, Vittorio Maniezzo, Aristide Mingozzi
    Pages 12-24
  4. Roberto Battiti, Mauro Brunato, Paolo Campigotto
    Pages 25-40
  5. Mauro Brunato, Holger H. Hoos, Roberto Battiti
    Pages 41-55
  6. Olivier Caelen, Gianluca Bontempi
    Pages 56-68
  7. Teodor Gabriel Crainic, Michel Toulouse
    Pages 95-109
  8. Deon Garrett, Dipankar Dasgupta
    Pages 110-124
  9. William E. Hart, Jonathan W. Berry, Erik Boman, Cynthia A. Phillips, Lee Ann Riesen, Jean-Paul Watson
    Pages 125-137
  10. Frank Neumann, Carsten Witt
    Pages 153-166
  11. Takao Ono, Mutsunori Yagiura, Tomio Hirata
    Pages 167-176
  12. Lale Özbakır, Adil Baykasoğlu, Sinem Kulluk
    Pages 177-191
  13. Stephen Remde, Peter Cowling, Keshav Dahal, Nic Colledge
    Pages 206-219
  14. Samuel Rota Bulò, Marcello Pelillo
    Pages 220-233
  15. Back Matter

About these proceedings


This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Learning and Intelligent Optimization, LION 2007 II, held in Trento, Italy, in December 2007.

The 18 revised full papers were carefully reviewed and selected from 48 submissions for inclusion in the book. The papers cover current issues of machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems and are organized in topical sections on improving optimization through learning, variable neighborhood search, insect colony optimization, applications, new paradigms, cliques, stochastic optimization, combinatorial optimization, fitness and landscapes, and particle swarm optimization.


Artificial intelligence algorithms combinatorial optimization learning machine learning optimization proving

Editors and affiliations

  • Vittorio Maniezzo
    • 1
  • Roberto Battiti
    • 2
  • Jean-Paul Watson
    • 3
  1. 1.Dept. Computer ScienceUniversity of BolognaBolognaItaly
  2. 2.Università degli Studi di TrentoTrentoItaly
  3. 3.Discrete Math and Complex Systems DepartmentSandia National LaboratoriesAlbuquerqueUSA

Bibliographic information