Skip to main content
  • Conference proceedings
  • © 2016

Learning and Intelligent Optimization

10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10079)

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 2016.

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-50349-3
  • 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 69.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (25 papers)

  1. Front Matter

    Pages I-XI
  2. Full Papers

    1. Front Matter

      Pages 1-1
    2. Learning a Stopping Criterion for Local Search

      • Alejandro Arbelaez, Barry O’Sullivan
      Pages 3-16
    3. Surrogate Assisted Feature Computation for Continuous Problems

      • Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
      Pages 17-31
    4. MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework

      • Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann
      Pages 32-47
    5. Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection

      • Laura Climent, Barry O’Sullivan, Steven D. Prestwich
      Pages 75-90
    6. Portfolios of Subgraph Isomorphism Algorithms

      • Lars Kotthoff, Ciaran McCreesh, Christine Solnon
      Pages 107-122
    7. Structure-Preserving Instance Generation

      • Yuri Malitsky, Marius Merschformann, Barry O’Sullivan, Kevin Tierney
      Pages 123-140
    8. Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search

      • Lucien Mousin, Laetitia Jourdan, Marie-Eléonore Kessaci Marmion, Clarisse Dhaenens
      Pages 141-156
    9. Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search

      • Teck-Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau
      Pages 187-202
    10. Quantifying the Similarity of Algorithm Configurations

      • Lin Xu, Ashiqur R. KhudaBukhsh, Holger H. Hoos, Kevin Leyton-Brown
      Pages 203-217
  3. Short Papers

    1. Front Matter

      Pages 219-219
    2. Neighborhood Synthesis from an Ensemble of MIP and CP Models

      • Tommaso Adamo, Tobia Calogiuri, Gianpaolo Ghiani, Antonio Grieco, Emanuela Guerriero, Emanuele Manni
      Pages 221-226
    3. Parallelizing Constraint Solvers for Hard RCPSP Instances

      • Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro
      Pages 227-233
    4. Characterization of Neighborhood Behaviours in a Multi-neighborhood Local Search Algorithm

      • Nguyen Thi Thanh Dang, Patrick De Causmaecker
      Pages 234-239

Other Volumes

  1. Learning and Intelligent Optimization

    10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Learning and Optimization, LION 10, which was held on Ischia, Italy, in May/June 2016.

The 14 full papers presented together with 9 short papers and 2 GENOPT papers were carefully reviewed and selected from 47 submissions. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to new ideas and methods; challenges and opportunities in various application areas; general trends, and specific developments.

Keywords

  • algorithm selection
  • discrete mathematics
  • machine learning
  • mathematical optimization
  • meta-learning
  • algorithm configuration
  • black-box optimization
  • clustering
  • combinatorial optimization
  • constraint solving
  • differential evolution
  • dynamic vehicle routing
  • empirical study
  • feature extraction
  • feature selection
  • genetic algorithm
  • machine learning theory
  • meta-heuristics
  • probability and statistics
  • algorithm analysis and problem complexity

Editors and Affiliations

  • Univ of Naples Federico II, Naples, Italy

    Paola Festa

  • Thomas J. Wastson Research Center, Yorktown Heights, USA

    Meinolf Sellmann

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Joaquin Vanschoren

Bibliographic Information

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-50349-3
  • 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 69.99
Price excludes VAT (USA)