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Learning and Intelligent Optimization

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

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Giuseppe Nicosia

    1. Università Catania Dipto. Matematica e Informatica, Catania, Italy

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  2. Panos Pardalos

    1. Industrial & Systems Engineering, University of Florida, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Proceedings of the 7th International Conference on Learning and Optimization, LION 7
  • Includes supplementary material: sn.pub/extras

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

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

Included in the following conference series:

Conference proceedings info: LION 2013.

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About this book

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.

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xv
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  2. Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence

    • Amos H. C. Ng, Catarina Dudas, Henrik Boström, Kalyanmoy Deb
    Pages 1-18

  3. Intelligent Optimization for the Minimum Labelling Spanning Tree Problem

    • Sergio Consoli, José Andrés Moreno Pérez, Nenad Mladenović
    Pages 19-23

  4. A Constraint Satisfaction Approach to Tractable Theory Induction

    • John Ahlgren, Shiu Yin Yuen
    Pages 24-29

  5. Features for Exploiting Black-Box Optimization Problem Structure

    • Tinus Abell, Yuri Malitsky, Kevin Tierney
    Pages 30-36

  6. 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

  7. Sharing Information in Parallel Search with Search Space Partitioning

    • Davide Lanti, Norbert Manthey
    Pages 52-58

  8. Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection

    • Clément Chevalier, David Ginsbourger
    Pages 59-69

  9. R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection

    • Heike Trautmann, Tobias Wagner, Dimo Brockhoff
    Pages 70-74

  10. A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints

    • Shunji Umetani, Masanao Arakawa, Mutsunori Yagiura
    Pages 75-80

  11. A Genetic Algorithm Approach for the Multidimensional Two-Way Number Partitioning Problem

    • P. C. Pop, O. Matei
    Pages 81-86

  12. Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

    • Trong-Tuan Vu, Bilel Derbel, Nouredine Melab
    Pages 87-103

  13. Multi-Objective Optimization for Relevant Sub-graph Extraction

    • Mohamed Elati, Cuong To, Rémy Nicolle
    Pages 104-109

  14. PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection

    • Stefan Hess, Tobias Wagner, Bernd Bischl
    Pages 110-124

  15. Neutrality in the Graph Coloring Problem

    • Marie-Eléonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens
    Pages 125-130

  16. Kernel Multi Label Vector Optimization (kMLVO): A Unified Multi-Label Classification Formalism

    • Gilad Liberman, Tal Vider-Shalit, Yoram Louzoun
    Pages 131-137

  17. Robust Benchmark Set Selection for Boolean Constraint Solvers

    • Holger H. Hoos, B. Kaufmann, T. Schaub, M. Schneider
    Pages 138-152

  18. Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction

    • Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
    Pages 153-167

  19. A Fast and Adaptive Local Search Algorithm for Multi-Objective Optimization

    • Duy Tin Truong
    Pages 168-173

  20. 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
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Other volumes

  1. Learning and Intelligent Optimization

Editors and Affiliations

  • Università Catania Dipto. Matematica e Informatica, Catania, Italy

    Giuseppe Nicosia

  • Industrial & Systems Engineering, University of Florida, Gainesville, USA

    Panos Pardalos

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