@inproceedings{38f53772a7e74ac6b6fb8cc96aa5ee33,
title = "Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers",
abstract = "The deployment of point-to-multipoint (P2MP) transceivers in metro-aggregation networks requires meeting multiple design criteria. This article presents a constrained meta-heuristic optimization framework tailored for this task and demonstrates that P2MP transceivers enable cost savings compared to point-to-point (P2P) transceivers when considering both transceivers and amplifiers.",
keywords = "filterless, genetic algorithm, point-to-multipoint",
author = "Hosseini, {Mohammad M.} and Jo{\~a}o Pedro and Antonio Napoli and Nelson Costa and Prilepsky, {Jaroslaw E.} and Turitsyn, {Sergei K.}",
note = "Funding: 10.13039/100006129-FCT (Grant Number: UIDB/50008/2020) ",
year = "2023",
month = nov,
day = "2",
doi = "10.1109/psc57974.2023.10297286",
language = "English",
isbn = "979-8-3503-2371-9",
series = "2023 International Conference on Photonics in Switching and Computing, PSC 2023",
publisher = "IEEE",
booktitle = "2023 International Conference on Photonics in Switching and Computing (PSC)",
address = "United States",
}