Skip to main content
  • 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.

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-19084-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 69.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

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

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

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. A large variety of topics are covered, such as benchmark problems and performance measures; tracking moving optima; dynamic multiobjective optimization; adaptation, learning, and anticipation; handling noisy fitness functions; using fitness approximations; searching for robust optimal solutions; comparative studies; hybrid approaches; theoretical analysis; and real-world applications.

Keywords

  • Algorithm construction
  • Answer set programming
  • Bio-inspired approaches
  • Bio-inspired optimization
  • Classification
  • Constraint solving
  • Construction heuristics
  • Data mining
  • Decision tree
  • Design
  • Discrete optimization
  • Experimentation
  • Gaussian processes
  • Machine learning approaches
  • Metaheuristics
  • Multi-criterion optimization and decision-making
  • Optimization with randomized search heuristics
  • Performance
  • Real-world application
  • Validation

Editors and Affiliations

  • Lille University, Villeneuve d'Ascq, France

    Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion

Bibliographic Information

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-19084-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 69.99
Price excludes VAT (USA)