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Learning and Intelligent Optimization

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

  • Conference proceedings
  • © 2012

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Editors:
  1. Youssef Hamadi

    1. Microsoft Research Center, Cambridge, UK

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  2. Marc Schoenauer

    1. INRIA Saclay, Université Paris Sud, Orsay Cedex, France

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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)

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Conference proceedings info: LION 2012.

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Table of contents (53 papers)

  1. Front Matter

    Download chapter PDF

  2. Long Papers

    1. Iterative-Deepening Search with On-Line Tree Size Prediction

      • Ethan Burns, Wheeler Ruml
      Pages 1-15

    2. A Learning Optimization Algorithm in Graph Theory

      • Gilles Caporossi, Pierre Hansen
      Pages 16-30

    3. A Math-Heuristic Dantzig-Wolfe Algorithm for the Capacitated Lot Sizing Problem

      • Marco Caserta, Stefan Voß
      Pages 31-41

    4. Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows

      • Tristan Cazenave, Fabien Teytaud
      Pages 42-54

    5. Parallel Algorithm Configuration

      • Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
      Pages 55-70

    6. 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

    7. A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization

      • Naoya Kowatari, Akira Oyama, Hernán E. Aguirre, Kiyoshi Tanaka
      Pages 86-100

    8. A Non-adaptive Stochastic Local Search Algorithm for the CHeSC 2011 Competition

      • Franco Mascia, Thomas Stützle
      Pages 101-114

    9. 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

    10. Evaluating Tree-Decomposition Based Algorithms for Answer Set Programming

      • Michael Morak, Nysret Musliu, Reinhard Pichler, Stefan Rümmele, Stefan Woltran
      Pages 130-144

    11. High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games

      • Mike Preuss, Tobias Wagner, David Ginsbourger
      Pages 145-159

    12. Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling

      • Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag
      Pages 160-174

    13. Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data

      • Francesco Sambo, Barbara Di Camillo
      Pages 175-189

    14. Quantifying Homogeneity of Instance Sets for Algorithm Configuration

      • Marius Schneider, Holger H. Hoos
      Pages 190-204

    15. Automatically Configuring Algorithms for Scaling Performance

      • James Styles, Holger H. Hoos, Martin Müller
      Pages 205-219

    16. Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper

      • Michèle Sebag, Olivier Teytaud
      Pages 220-234

    17. Bounding the Effectiveness of Hypervolume-Based (μ + λ)-Archiving Algorithms

      • Tamara Ulrich, Lothar Thiele
      Pages 235-249

    18. Optimization by ℓ1-Constrained Markov Fitness Modelling

      • Gabriele Valentini, Luigi Malagò, Matteo Matteucci
      Pages 250-264

    19. 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
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  1. Learning and Intelligent Optimization

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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.

Editors and Affiliations

  • Microsoft Research Center, Cambridge, UK

    Youssef Hamadi

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

    Marc Schoenauer

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