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Learning and Intelligent Optimization

13th International Conference, LION 13, Chania, Crete, Greece, May 27–31, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Nikolaos F. Matsatsinis

    1. Technical University of Crete, Chania, Greece

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  2. Yannis Marinakis

    1. Technical University of Crete, Chania, Greece

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  3. Panos Pardalos

    1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11968)

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

Included in the following conference series:

Conference proceedings info: LION 2019.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. A Hybrid Immunological Search for the Weighted Feedback Vertex Set Problem

    • Vincenco Cutello, Maria Oliva, Mario Pavone, Rocco A. Scollo
    Pages 1-16

  3. A Statistical Test of Heterogeneous Subgraph Densities to Assess Clusterability

    • Pierre Miasnikof, Liudmila Prokhorenkova, Alexander Y. Shestopaloff, Andrei Raigorodskii
    Pages 17-29

  4. Towards Improving Merging Heuristics for Binary Decision Diagrams

    • Nikolaus Frohner, Günther R. Raidl
    Pages 30-45

  5. On Polynomial Solvability of One Quadratic Euclidean Clustering Problem on a Line

    • Alexander Kel’manov, Vladimir Khandeev
    Pages 46-52

  6. How to Use Boltzmann Machines and Neural Networks for Covering Array Generation

    • Ludwig Kampel, Michael Wagner, Ilias S. Kotsireas, Dimitris E. Simos
    Pages 53-68

  7. Adaptive Sequence-Based Heuristic for the Three-Dimensional Bin Packing Problem

    • Óscar Oliveira, Telmo Matos, Dorabela Gamboa
    Pages 69-76

  8. Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks

    • Antonio Candelieri, Bruno Galuzzi, Ilaria Giordani, Riccardo Perego, Francesco Archetti
    Pages 77-93

  9. A Hessian Free Neural Networks Training Algorithm with Curvature Scaled Adaptive Momentum

    • Flora Sakketou, Nicholas Ampazis
    Pages 94-105

  10. Irreducible Bin Packing: Complexity, Solvability and Application to the Routing Open Shop

    • Ilya Chernykh, Artem Pyatkin
    Pages 106-120

  11. Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine

    • Thomas Philip Runarsson
    Pages 121-134

  12. Exact Algorithm for One Cardinality-Weighted 2-Partitioning Problem of a Sequence

    • Alexander Kel’manov, Sergey Khamidullin, Anna Panasenko
    Pages 135-145

  13. A Hybrid Variation Harmony Search Algorithm for the Team Orienteering Problem with Capacity Limitations

    • Eleftherios Tsakirakis, Magdalene Marinaki, Yannis Marinakis
    Pages 146-156

  14. Adaptive GVNS Heuristics for Solving the Pollution Location Inventory Routing Problem

    • Panagiotis Karakostas, Angelo Sifaleras, Michael C. Georgiadis
    Pages 157-170

  15. A RAMP Algorithm for Large-Scale Single Source Capacitated Facility Location Problems

    • Óscar Oliveira, Telmo Matos, Dorabela Gamboa
    Pages 171-183

  16. A Novel Approach for Solving Large-Scale Bike Sharing Station Planning Problems

    • Christian Kloimüllner, Günther R. Raidl
    Pages 184-200

  17. Asymptotically Optimal Algorithms for the Prize-Collecting Traveling Salesman Problem on Random Inputs

    • Edward Kh. Gimadi, Oxana Tsidulko
    Pages 201-207

  18. An Artificial Bee Colony Algorithm for the Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem

    • Emmanouela Rapanaki, Iraklis-Dimitrios Psychas, Magdalene Marinaki, Yannis Marinakis
    Pages 208-223

  19. PTAS for the Euclidean Capacitated Vehicle Routing Problem with Time Windows

    • Michael Khachay, Yuri Ogorodnikov
    Pages 224-230

  20. On a Cooperative VNS Parallelization Strategy for the Capacitated Vehicle Routing Problem

    • Panagiotis Kalatzantonakis, Angelo Sifaleras, Nikolaos Samaras
    Pages 231-239
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About this book

This book constitutes the thoroughly refereed pChania, Crete, Greece, in May 2019.
The 38 full papers presented have been carefully reviewed and selected from 52 submissions. The papers focus on advancedresearch developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning.


Editors and Affiliations

  • Technical University of Crete, Chania, Greece

    Nikolaos F. Matsatsinis, Yannis Marinakis

  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    Panos Pardalos

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