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Learning and Intelligent Optimization

12th International Conference, LION 12, Kalamata, Greece, June 10–15, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Roberto Battiti

    1. University of Trento, Trento, Italy

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  2. Mauro Brunato

    1. University of Trento, Trento, Italy

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  3. Ilias Kotsireas

    1. Wilfrid Laurier University, Waterloo, Canada

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  4. Panos M. Pardalos

    1. University of Florida, Gainesville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11353)

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

Included in the following conference series:

Conference proceedings info: LION 12 2018.

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Table of contents (40 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning

    • Akshita Bhandari, Chandramani Singh
    Pages 1-15

  3. Spiral Search Method to GPU Parallel Euclidean Minimum Spanning Tree Problem

    • Wen-Bao Qiao, Jean-Charles Créput
    Pages 16-30

  4. A Cooperative Learning Approach for the Quadratic Knapsack Problem

    • Eduardo Lalla-Ruiz, Eduardo Segredo, Stefan Voß
    Pages 31-35

  5. An Improved BTK Algorithm Based on Cell-Like P System with Active Membranes

    • Linlin Jia, Laisheng Xiang, Xiyu Liu
    Pages 36-48

  6. A Simple Algorithmic Proof of the Symmetric Lopsided Lovász Local Lemma

    • Lefteris Kirousis, John Livieratos
    Pages 49-63

  7. Creating a Multi-iterative-Priority-Rule for the Job Shop Scheduling Problem with Focus on Tardy Jobs via Genetic Programming

    • Georg E. A. Froehlich, Guenter Kiechle, Karl F. Doerner
    Pages 64-77

  8. A Global Optimization Algorithm for Non-Convex Mixed-Integer Problems

    • Victor Gergel, Konstantin Barkalov, Ilya Lebedev
    Pages 78-81

  9. Massive 2-opt and 3-opt Moves with High Performance GPU Local Search to Large-Scale Traveling Salesman Problem

    • Wen-Bao Qiao, Jean-Charles Créput
    Pages 82-97

  10. Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks

    • Teck-Hou Teng, Hoong Chuin Lau, Aldy Gunawan
    Pages 98-114

  11. CAVE: Configuration Assessment, Visualization and Evaluation

    • André Biedenkapp, Joshua Marben, Marius Lindauer, Frank Hutter
    Pages 115-130

  12. The Accuracy of One Polynomial Algorithm for the Convergecast Scheduling Problem on a Square Grid with Rectangular Obstacles

    • Adil Erzin, Roman Plotnikov
    Pages 131-140

  13. An Effective Heuristic for a Single-Machine Scheduling Problem with Family Setups and Resource Constraints

    • Júlio C. S. N. Pinheiro, José E. C. Arroyo, Ricardo G. Tavares
    Pages 141-153

  14. Learning the Quality of Dispatch Heuristics Generated by Automated Programming

    • Andrew J. Parkes, Neema Beglou, Ender Özcan
    Pages 154-158

  15. Explaining Heuristic Performance Differences for Vehicle Routing Problems with Time windows

    • Jeroen Corstjens, An Caris, Benoît Depaire
    Pages 159-174

  16. Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization Under a Restricted Budget

    • D. Gaudrie, R. Le Riche, V. Picheny, B. Enaux, V. Herbert
    Pages 175-179

  17. How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions

    • Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev
    Pages 180-183

  18. Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems

    • Jakob Bossek, Christian Grimme
    Pages 184-198

  19. Exact and Heuristic Approaches for the Longest Common Palindromic Subsequence Problem

    • Marko Djukanovic, Günther R. Raidl, Christian Blum
    Pages 199-214

  20. Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time

    • Jakob Bossek, Heike Trautmann
    Pages 215-219
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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018.
The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 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, Mauro Brunato

  • Wilfrid Laurier University, Waterloo, Canada

    Ilias Kotsireas

  • University of Florida, Gainesville, USA

    Panos M. Pardalos

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