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Local Optima Networks in Solving Algorithm Selection Problem for TSP

  • Wojciech BożejkoEmail author
  • Andrzej Gnatowski
  • Teodor Niżyński
  • Michael Affenzeller
  • Andreas Beham
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 761)

Abstract

In the era of commonly available problem-solving tools for, it is especially important to choose the best available method. We use local optima network analysis and machine learning to select appropriate algorithms on the instance-to-instance basis. The preliminary results show that such method can be successfully applied for sufficiently distinct instances and algorithms.

Keywords

Algorithm selection problem Fitness landscape analysis Local optima networks Travelling salesman problem 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Wojciech Bożejko
    • 1
    • 3
    Email author
  • Andrzej Gnatowski
    • 1
    • 3
  • Teodor Niżyński
    • 1
    • 3
  • Michael Affenzeller
    • 2
    • 3
  • Andreas Beham
    • 2
    • 3
  1. 1.Department of Automatics, Mechatronics and Control SystemsWrocław University of Science and TechnologyWrocławPoland
  2. 2.Heuristic and Evolutionary Algorithms LaboratoryUniversity of Applied Sciences Upper AustriaHagenbergAustria
  3. 3.Institute for Formal Models and VerificationJohannes Kepler University LinzLinzAustria

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