Learning and Intelligent Optimization

7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers

  • Giuseppe Nicosia
  • Panos Pardalos
Conference proceedings LION 2013

DOI: 10.1007/978-3-642-44973-4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7997)

Table of contents (49 papers)

  1. Front Matter
    Pages i-xv
  2. Intelligent Optimization for the Minimum Labelling Spanning Tree Problem
    Sergio Consoli, José Andrés Moreno Pérez, Nenad Mladenović
    Pages 19-23
  3. Features for Exploiting Black-Box Optimization Problem Structure
    Tinus Abell, Yuri Malitsky, Kevin Tierney
    Pages 30-36
  4. MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets
    Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens
    Pages 37-51
  5. R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection
    Heike Trautmann, Tobias Wagner, Dimo Brockhoff
    Pages 70-74
  6. A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints
    Shunji Umetani, Masanao Arakawa, Mutsunori Yagiura
    Pages 75-80
  7. Multi-Objective Optimization for Relevant Sub-graph Extraction
    Mohamed Elati, Cuong To, Rémy Nicolle
    Pages 104-109
  8. PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection
    Stefan Hess, Tobias Wagner, Bernd Bischl
    Pages 110-124
  9. Neutrality in the Graph Coloring Problem
    Marie-Eléonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens
    Pages 125-130
  10. Kernel Multi Label Vector Optimization (kMLVO): A Unified Multi-Label Classification Formalism
    Gilad Liberman, Tal Vider-Shalit, Yoram Louzoun
    Pages 131-137
  11. Robust Benchmark Set Selection for Boolean Constraint Solvers
    Holger H. Hoos, B. Kaufmann, T. Schaub, M. Schneider
    Pages 138-152
  12. Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction
    Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
    Pages 153-167
  13. An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games
    Mariela Nogueira, Carlos Cotta, Antonio J. Fernández-Leiva
    Pages 174-188

About these proceedings

Introduction

This book constitutes the proceedings of the 7th International Conference on Learning and Optimization, LION 7, which was held in Catania, Italy, in January 2013. The 49 contributions presented in this volume were carefully reviewed and selected from 101 submissions. They explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

Keywords

SAT solvers constraints game theory graph problems multi-objective optimization

Editors and affiliations

  • Giuseppe Nicosia
    • 1
  • Panos Pardalos
    • 2
  1. 1.Università Catania Dipto. Matematica e InformaticaCataniaItaly
  2. 2.Industrial & Systems EngineeringUniversity of FloridaGainesvilleUSA

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-44972-7
  • Online ISBN 978-3-642-44973-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349