Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem
Neural and Evolutionary Computing
2022-01-20 v1 Artificial Intelligence
Machine Learning
Abstract
Using an enhanced Self-Organizing Map method, we provided suboptimal solutions to the Traveling Salesman Problem. Besides, we employed hyperparameter tuning to identify the most critical features in the algorithm. All improvements in the benchmark work brought consistent results and may inspire future efforts to improve this algorithm and apply it to different problems.
Cite
@article{arxiv.2201.07208,
title = {Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem},
author = {Joao P. A. Dantas and Andre N. Costa and Marcos R. O. A. Maximo and Takashi Yoneyama},
journal= {arXiv preprint arXiv:2201.07208},
year = {2022}
}