Logo do repositório
 
Publicação

Solving the Regenerator Location Problem using Swarm Intelligence Algorithms

2019-07Comunicação em conferência Acesso aberto
Ver registo simples
dc.contributor.authorFerreira, Pedro
dc.contributor.authorPessoa, Rodrigo
dc.contributor.authorBernardino, Anabela
dc.contributor.authorBernardino, Eugénia
dc.contributor.authorPiedade, Maria Beatriz
dc.contributor.authorGoncalves, Alexandrino
dc.date.accessioned2026-09-28T10:13:14Z
dc.date.available2026-09-28T10:13:14Z
dc.date.issued2019-07
dc.description.abstractIn optical networks, due to deficiencies in the fibre (attenuation, dispersion, conversion)the signal strength deteriorates as it gets further away from its source. For that reason, the distance that a signal can travel without losing or corrupting information is limited. Therefore, it is necessary to regenerate the signals periodically using regenerators. Given an optical network, the regenerator location problem tries to install a subset of regenerators with the minimum possible cost, in a way that each pair of nodes can communicate with each other. In this paper, two swarm optimisation algorithms: Ant Colony Optimisation and Bees Algorithm are used to solve this problem. We compare our results with other algorithms used in literature to solve the same problem. Simulation results obtained using 480 different instances prove their efficiency in solving the regenerator location problem.eng
dc.identifier.citationP. Ferreira, R. Pessoa, A. Bernardino, E. Bernardino, B. Piedade and A. Gonçalves, "Solving the Regenerator Location Problem using Swarm Intelligence Algorithms," 2019 International Conference in Engineering Applications (ICEA), Sao Miguel, Portugal, 2019, pp. 1-6, doi: 10.1109/CEAP.2019.8883464.
dc.identifier.doi10.1109/ceap.2019.8883464
dc.identifier.isbn978-1-7281-2962-4
dc.identifier.urihttp://hdl.handle.net/10400.8/16915
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationCentro de Investigação em Informática e Comunicações
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/8883464/
dc.relation.ispartof2019 International Conference in Engineering Applications (ICEA)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSwarm Optimisation Algorithms
dc.subjectRegenerator Location Problem
dc.subjectOptical Networks
dc.titleSolving the Regenerator Location Problem using Swarm Intelligence Algorithmseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUID/CEC/04524/2019
oaire.awardTitleCentro de Investigação em Informática e Comunicações
oaire.awardURIhttp://hdl.handle.net/10400.8/14359
oaire.citation.conferenceDate2019-07
oaire.citation.conferencePlaceSão Miguel, Açores
oaire.citation.title2019 International Conference in Engineering Applications (ICEA)
oaire.fundingStreamFinanciamento do Plano Estratégico de Unidades de I&D - 2019
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMoreira Bernardino
person.familyNameBernardino
person.familyNameGuerra da Piedade
person.givenNameAnabela
person.givenNameEugénia
person.givenNameMaria Beatriz
person.identifier.ciencia-id081E-F3B8-316A
person.identifier.ciencia-id9616-F1BC-D8BD
person.identifier.ciencia-idAA12-B290-1248
person.identifier.orcid0000-0002-6561-5730
person.identifier.orcid0000-0001-5301-5853
person.identifier.orcid0000-0002-7433-2599
person.identifier.scopus-author-id24402754700
person.identifier.scopus-author-id25123045900
relation.isAuthorOfPublication375ebe15-f84c-46a4-a3d9-6e4935a92187
relation.isAuthorOfPublication893cf15c-eff8-4e43-949c-c1de6eb87599
relation.isAuthorOfPublicationabf53d80-76b3-4c3a-b173-667340dcdfd0
relation.isAuthorOfPublication.latestForDiscovery375ebe15-f84c-46a4-a3d9-6e4935a92187
relation.isProjectOfPublication2c0c49f3-eb6a-47c9-bc5f-e711a314c326
relation.isProjectOfPublication.latestForDiscovery2c0c49f3-eb6a-47c9-bc5f-e711a314c326

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
106.pdf
Tamanho:
315.4 KB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.32 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

CIIC - Publicações em Atas de Conferências com Peer Review
ESTG - Comunicações em conferências e congressos nacionais