Exploring the Tabu Search Algorithm as a Graph Coloring Technique for Wavelength Assignment in Optical Networks

Inês Gomes, Luís Cancela, Luís Cancela, João Rebola, João Rebola

2022

Abstract

The aim of this work is to study the Tabu Search algorithm as a graph coloring technique for wavelength assignment in optical networks, a crucial function in optical network planning. The performance of the Tabu Search is assessed in terms of the number of wavelengths and computation time and is compared with the one of the most common Greedy algorithm. It is concluded that for real networks with a large number of nodes and a higher variance node degree of the path graph relatively to its average node degree value, the Greedy algorithm is preferable to the Tabu Search algorithm since it returns the same number of colors of Tabu Search, but in a shorter computation time.

Paper Citation

in Harvard Style

Gomes I., Cancela L. and Rebola J. (2022). Exploring the Tabu Search Algorithm as a Graph Coloring Technique for Wavelength Assignment in Optical Networks. In Proceedings of the 10th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS, ISBN 978-989-758-554-8, pages 59-68. DOI: 10.5220/0010910000003121

in Bibtex Style

@conference{photoptics22,
author={Inês Gomes and Luís Cancela and João Rebola},
title={Exploring the Tabu Search Algorithm as a Graph Coloring Technique for Wavelength Assignment in Optical Networks},
booktitle={Proceedings of the 10th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,},
year={2022},
pages={59-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010910000003121},
isbn={978-989-758-554-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,
TI - Exploring the Tabu Search Algorithm as a Graph Coloring Technique for Wavelength Assignment in Optical Networks
SN - 978-989-758-554-8
AU - Gomes I.
AU - Cancela L.
AU - Rebola J.
PY - 2022
SP - 59
EP - 68
DO - 10.5220/0010910000003121