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  • Conference proceedings
  • © 2012

Learning and Intelligent Optimization

6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Selected Papers

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7219)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): LION: International Conference on Learning and Intelligent Optimization

Conference proceedings info: LION 2012.

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  • ISBN: 978-3-642-34413-8
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Table of contents (53 papers)

  1. Front Matter

  2. Long Papers

    1. A Learning Optimization Algorithm in Graph Theory

      • Gilles Caporossi, Pierre Hansen
      Pages 16-30
    2. Parallel Algorithm Configuration

      • Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
      Pages 55-70
    3. Community Detection in Social and Biological Networks Using Differential Evolution

      • Guanbo Jia, Zixing Cai, Mirco Musolesi, Yong Wang, Dan A. Tennant, Ralf J. M. Weber et al.
      Pages 71-85
    4. Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness

      • Olaf Mersmann, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, Frank Neumann
      Pages 115-129
    5. Evaluating Tree-Decomposition Based Algorithms for Answer Set Programming

      • Michael Morak, Nysret Musliu, Reinhard Pichler, Stefan Rümmele, Stefan Woltran
      Pages 130-144
    6. High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games

      • Mike Preuss, Tobias Wagner, David Ginsbourger
      Pages 145-159
    7. Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling

      • Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag
      Pages 160-174
    8. Quantifying Homogeneity of Instance Sets for Algorithm Configuration

      • Marius Schneider, Holger H. Hoos
      Pages 190-204
    9. Automatically Configuring Algorithms for Scaling Performance

      • James Styles, Holger H. Hoos, Martin Müller
      Pages 205-219
    10. Optimization by ℓ1-Constrained Markov Fitness Modelling

      • Gabriele Valentini, Luigi Malagò, Matteo Matteucci
      Pages 250-264
    11. Vehicle Routing and Adaptive Iterated Local Search within the HyFlex Hyper-heuristic Framework

      • James D. Walker, Gabriela Ochoa, Michel Gendreau, Edmund K. Burke
      Pages 265-276

Other Volumes

  1. Learning and Intelligent Optimization

    6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Selected Papers

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community.

Keywords

  • SAT
  • dynamic optimization
  • local search
  • multi-objective optimization
  • traveling salesman problem
  • algorithm analysis and problem complexity

Editors and Affiliations

  • Microsoft Research Center, Cambridge, UK

    Youssef Hamadi

  • INRIA Saclay, Université Paris Sud, Orsay Cedex, France

    Marc Schoenauer

Bibliographic Information

Buying options

eBook USD 64.99
Price excludes VAT (USA)
  • ISBN: 978-3-642-34413-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 84.99
Price excludes VAT (USA)