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Learning and Intelligent Optimization

11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Roberto Battiti

    1. University of Trento, Trento, Italy

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  2. Dmitri E. Kvasov

    1. University of Calabria, Rende, Italy

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  3. Yaroslav D. Sergeyev

    1. University of Calabria, Rende, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10556)

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

Included in the following conference series:

Conference proceedings info: LION 2017.

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Table of contents (35 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. Long Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design

      • Steven Adriaensen, Filip Moons, Ann Nowé
      Pages 3-17

    3. Test Problems for Parallel Algorithms of Constrained Global Optimization

      • Konstantin Barkalov, Roman Strongin
      Pages 18-33

    4. Automatic Configuration of Kernel-Based Clustering: An Optimization Approach

      • Antonio Candelieri, Ilaria Giordani, Francesco Archetti
      Pages 34-49

    5. Solution of the Convergecast Scheduling Problem on a Square Unit Grid When the Transmission Range is 2

      • Adil Erzin
      Pages 50-63

    6. A GRASP for the Minimum Cost SAT Problem

      • Giovanni Felici, Daniele Ferone, Paola Festa, Antonio Napoletano, Tommaso Pastore
      Pages 64-78

    7. A New Local Search for the p-Center Problem Based on the Critical Vertex Concept

      • Daniele Ferone, Paola Festa, Antonio Napoletano, Mauricio G. C. Resende
      Pages 79-92

    8. An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering

      • Angeliki Gretsista, Edmund K. Burke
      Pages 93-108

    9. Learning a Reactive Restart Strategy to Improve Stochastic Search

      • Serdar Kadioglu, Meinolf Sellmann, Markus Wagner
      Pages 109-123

    10. Efficient Adaptive Implementation of the Serial Schedule Generation Scheme Using Preprocessing and Bloom Filters

      • Daniel Karapetyan, Alexei Vernitski
      Pages 124-138

    11. Interior Point and Newton Methods in Solving High Dimensional Flow Distribution Problems for Pipe Networks

      • Oleg O. Khamisov, Valery A. Stennikov
      Pages 139-149

    12. Hierarchical Clustering and Multilevel Refinement for the Bike-Sharing Station Planning Problem

      • Christian Kloimüllner, Günther R. Raidl
      Pages 150-165

    13. Decomposition Descent Method for Limit Optimization Problems

      • Igor Konnov
      Pages 166-179

    14. RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization

      • Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel et al.
      Pages 180-195

    15. A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem

      • Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
      Pages 196-209

    16. Sharp Penalty Mappings for Variational Inequality Problems

      • Evgeni Nurminski
      Pages 210-221

    17. A Nonconvex Optimization Approach to Quadratic Bilevel Problems

      • Andrei Orlov
      Pages 222-234

    18. An Experimental Study of Adaptive Capping in irace

      • Leslie Pérez Cáceres, Manuel López-Ibáñez, Holger Hoos, Thomas Stützle
      Pages 235-250

    19. Duality Gap Analysis of Weak Relaxed Greedy Algorithms

      • Sergei P. Sidorov, Sergei V. Mironov
      Pages 251-262
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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 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017.

The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Editors and Affiliations

  • University of Trento, Trento, Italy

    Roberto Battiti

  • University of Calabria, Rende, Italy

    Dmitri E. Kvasov, Yaroslav D. Sergeyev

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