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Learning and Intelligent Optimization

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

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Paola Festa

    1. Univ of Naples Federico II, Naples, Italy

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  2. Meinolf Sellmann

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

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  3. Joaquin Vanschoren

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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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)

Included in the following conference series:

Conference proceedings info: LION 2016.

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Full Papers

    1. Front Matter

      Pages 1-1
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    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. Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers

      • Jakob Bossek, Heike Trautmann
      Pages 48-59

    6. Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization

      • Mauro Brunato, Roberto Battiti
      Pages 60-74

    7. 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

    8. Designing and Comparing Multiple Portfolios of Parameter Configurations for Online Algorithm Selection

      • Aldy Gunawan, Hoong Chuin Lau, Mustafa Mısır
      Pages 91-106

    9. Portfolios of Subgraph Isomorphism Algorithms

      • Lars Kotthoff, Ciaran McCreesh, Christine Solnon
      Pages 107-122

    10. Structure-Preserving Instance Generation

      • Yuri Malitsky, Marius Merschformann, Barry O’Sullivan, Kevin Tierney
      Pages 123-140

    11. Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search

      • Lucien Mousin, Laetitia Jourdan, Marie-Eléonore Kessaci Marmion, Clarisse Dhaenens
      Pages 141-156

    12. The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers

      • Zongxu Mu, Holger H. Hoos, Thomas Stützle
      Pages 157-172

    13. Requests Management for Smartphone-Based Matching Applications Using a Multi-agent Approach

      • Gilles Simonin, Barry O’Sullivan
      Pages 173-186

    14. Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search

      • Teck-Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau
      Pages 187-202

    15. 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
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    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
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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.

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

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