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Learning and Intelligent Optimization

8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Panos M. Pardalos

    1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

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  2. Mauricio G.C. Resende

    1. AT&T Labs Research, Middletown, USA

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  3. Chrysafis Vogiatzis

    1. University of Florida, Gainesville, USA

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  4. Jose L. Walteros

    1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8426)

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

Included in the following conference series:

Conference proceedings info: LION 2014.

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Table of contents (33 papers)

  1. Front Matter

    Pages I-XIII
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  2. Algorithm Portfolios for Noisy Optimization: Compare Solvers Early

    • Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
    Pages 1-15

  3. Ranking Algorithms by Performance

    • Lars Kotthoff
    Pages 16-20

  4. Portfolio Approaches for Constraint Optimization Problems

    • Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro
    Pages 21-35

  5. AClib: A Benchmark Library for Algorithm Configuration

    • Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown et al.
    Pages 36-40

  6. Algorithm Configuration in the Cloud: A Feasibility Study

    • Daniel Geschwender, Frank Hutter, Lars Kotthoff, Yuri Malitsky, Holger H. Hoos, Kevin Leyton-Brown
    Pages 41-46

  7. Evaluating Instance Generators by Configuration

    • Sam Bayless, Dave A. D. Tompkins, Holger H. Hoos
    Pages 47-61

  8. An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection

    • Zhi Yuan, Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau
    Pages 62-76

  9. A Continuous Refinement Strategy for the Multilevel Computation of Vertex Separators

    • William W. Hager, James T. Hungerford, Ilya Safro
    Pages 77-81

  10. On Multidimensional Scaling with City-Block Distances

    • Nerijus Galiauskas, Julius Žilinskas
    Pages 82-87

  11. A General Approach to Network Analysis of Statistical Data Sets

    • Valery A. Kalygin, Alexander P. Koldanov, Panos M. Pardalos
    Pages 88-97

  12. Multiple Decision Problem for Stock Selection in Market Network

    • Petr A. Koldanov, Grigory A. Bautin
    Pages 98-110

  13. Initial Sorting of Vertices in the Maximum Clique Problem Reviewed

    • Pablo San Segundo, Alvaro Lopez, Mikhail Batsyn
    Pages 111-120

  14. Using Comparative Preference Statements in Hypervolume-Based Interactive Multiobjective Optimization

    • Dimo Brockhoff, Youssef Hamadi, Souhila Kaci
    Pages 121-136

  15. Controlling Selection Area of Useful Infeasible Solutions in Directed Mating for Evolutionary Constrained Multiobjective Optimization

    • Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
    Pages 137-152

  16. An Aspiration Set EMOA Based on Averaged Hausdorff Distances

    • Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann
    Pages 153-156

  17. Deconstructing Multi-objective Evolutionary Algorithms: An Iterative Analysis on the Permutation Flow-Shop Problem

    • Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle
    Pages 157-172

  18. MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization

    • Bernd Bischl, Simon Wessing, Nadja Bauer, Klaus Friedrichs, Claus Weihs
    Pages 173-186

  19. Two Look-Ahead Strategies for Local-Search Metaheuristics

    • David Meignan, Silvia Schwarze, Stefan Voß
    Pages 187-202

  20. An Evolutionary Algorithm for the Leader-Follower Facility Location Problem with Proportional Customer Behavior

    • Benjamin Biesinger, Bin Hu, Günther Raidl
    Pages 203-217
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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 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective optimization; metaheuristics; graphs and networks; logistics and transportation; and biomedical applications.

Editors and Affiliations

  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    Panos M. Pardalos, Jose L. Walteros

  • AT&T Labs Research, Middletown, USA

    Mauricio G.C. Resende

  • University of Florida, Gainesville, USA

    Chrysafis Vogiatzis

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