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arXiv · 2108.00938

Machine Learning Constructives and Local Searches for the Travelling Salesman Problem

Tommaso Vitali·Umberto Junior Mele·Luca Maria Gambardella·Roberto Montemanni
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Abstract

The ML-Constructive heuristic is a recently presented method and the first hybrid method capable of scaling up to real scale traveling salesman problems. It combines machine learning techniques and classic optimization techniques. In this paper we present improvements to the computational weight of the original deep learning model. In addition, as simpler models reduce the execution time, the possibility of adding a local-search phase is explored to further improve performance. Experimental results corroborate the quality of the proposed improvements.

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Tommaso Vitali, Umberto Junior Mele, Luca Maria Gambardella, Roberto Montemanni. 2021-08-02. Machine Learning Constructives and Local Searches for the Travelling Salesman Problem. https://arxiv.org/abs/2108.00938

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