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  • Conference proceedings
  • © 2015

Learning and Intelligent Optimization

9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8994)

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 2015.

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Table of contents (31 papers)

  1. Front Matter

    Pages I-XI
  2. From Sequential Algorithm Selection to Parallel Portfolio Selection

    • M. Lindauer, H. Hoos, F. Hutter
    Pages 1-16
  3. ADVISER: A Web-Based Algorithm Portfolio Deviser

    • Mustafa Mısır, Stephanus Daniel Handoko, Hoong Chuin Lau
    Pages 23-28
  4. Identifying Best Hyperparameters for Deep Architectures Using Random Forests

    • Zhen-Zhen Li, Zhuo-Yao Zhong, Lian-Wen Jin
    Pages 29-42
  5. OSCAR: Online Selection of Algorithm Portfolios with Case Study on Memetic Algorithms

    • Mustafa Mısır, Stephanus Daniel Handoko, Hoong Chuin Lau
    Pages 59-73
  6. Learning a Hidden Markov Model-Based Hyper-heuristic

    • Willem Van Onsem, Bart Demoen, Patrick De Causmaecker
    Pages 74-88
  7. Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution

    • Martin Drozdik, Hernan Aguirre, Youhei Akimoto, Kiyoshi Tanaka
    Pages 89-103
  8. A Comparative Study on Self-Adaptive Differential Evolution Algorithms for Test Functions and a Real-World Problem

    • Shota Eguchi, Yuki Matsugano, Hirokazu Sakaguchi, Satoshi Ono, Hisato Fukuda, Ryo Furukawa et al.
    Pages 131-136
  9. Empirical Analysis of Operators for Permutation Based Problems

    • Pierre Desport, Matthieu Basseur, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion
    Pages 137-150
  10. Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem

    • Marie-Eléonore Marmion, Olivier Regnier-Coudert
    Pages 151-164
  11. Exploring Non-neutral Landscapes with Neutrality-Based Local Search

    • Matthieu Basseur, Adrien Goëffon, Hugo Traverson
    Pages 165-169
  12. A Selector Operator-Based Adaptive Large Neighborhood Search for the Covering Tour Problem

    • Leticia Vargas, Nicolas Jozefowiez, Sandra Ulrich Ngueveu
    Pages 170-185
  13. Metaheuristics for the Two-Dimensional Container Pre-Marshalling Problem

    • Alan Tus, Andrea Rendl, Günther R. Raidl
    Pages 186-201
  14. Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection

    • Lars Kotthoff, Pascal Kerschke, Holger Hoos, Heike Trautmann
    Pages 202-217

Other Volumes

  1. Learning and Intelligent Optimization

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization, LION 9, which was held in Lille, France, in January 2015.

The 31 contributions presented were carefully reviewed and selected for inclusion in this book. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization, multi-objective, max-clique problems, bayesian optimization and global optimization, data mining and - in a special session - also on dynamic optimization.

Editors and Affiliations

  • Lille University, Villeneuve d'Ascq, France

    Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access