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Local Optima Networks in Solving Algorithm Selection Problem for TSP

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Notes

  1. 1.

    https://www.iwr.uni-heidelberg.de/groups/comopt/software/TSPLIB95/.

  2. 2.

    https://developers.google.com/optimization/.

  3. 3.

    https://www.cs.waikato.ac.nz/~ml/weka/.

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Correspondence to Wojciech Bożejko .

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Bożejko, W., Gnatowski, A., Niżyński, T., Affenzeller, M., Beham, A. (2019). Local Optima Networks in Solving Algorithm Selection Problem for TSP. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Contemporary Complex Systems and Their Dependability. DepCoS-RELCOMEX 2018. Advances in Intelligent Systems and Computing, vol 761. Springer, Cham. https://doi.org/10.1007/978-3-319-91446-6_9

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