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Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators

2010-11Conference paper Restricted access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Médica
datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorBernardino, Eugénia M.
dc.contributor.authorBernardino, Anabela M.
dc.contributor.authorSánchez-Pérez, Juan Manuel
dc.contributor.authorGómez-Pulido, Juan Antonio
dc.contributor.authorVega-Rodríguez, Miguel Angel
dc.date.accessioned2025-11-28T18:47:54Z
dc.date.available2025-11-28T18:47:54Z
dc.date.issued2010-11
dc.descriptionArticle number - 5702845; Conference date - 7 November 2010 - 10 November 2010; Conference code - 83886
dc.descriptionEISBN - 978-1-4244-8132-3
dc.description.abstractIn this paper we propose a new approach to assign terminals to concentrators using a Hybrid Honey Bees Mating Optimisation algorithm. Honey Bees Mating Optimisation (HBMO) algorithm is a swarm-based optimisation algorithm, which simulates the mating process of real honey bees. We apply a hybridisation of HBMO to solve a combinatorial optimisation problem known as Terminal Assignment Problem (TAP). The purpose is to connect a given set of terminals to a given set of concentrators and minimise the link cost to form a communication network. The feasibility of Hybrid HBMO is demonstrated and compared with the solutions obtained by other algorithms from literature over different TAP instances.eng
dc.identifier.citationE. M. Bernardino, A. M. Bernardino, J. M. Sánchez-Pérez, J. A. Gómez-Pulido and M. A. Vega-Rodríguez, "Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators," 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010), Rome, Italy, 2010, pp. 1-7, doi: https://doi.org10.1109/ISABEL.2010.5702845.
dc.identifier.doi10.1109/isabel.2010.5702845
dc.identifier.eissn2325-5331
dc.identifier.isbn978-1-4244-8131-6
dc.identifier.isbn978-1-4244-8132-3
dc.identifier.issn2325-5315
dc.identifier.urihttp://hdl.handle.net/10400.8/14800
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5702845
dc.relation.ispartof2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)
dc.rights.uriN/A
dc.subjectCommunication Networks
dc.subjectHoney Bees Mating Optimisation Algorithm
dc.subjectTerminal Assignment Problem
dc.titleHybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentratorseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2010-11
oaire.citation.conferencePlaceRome, Italy
oaire.citation.title2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBernardino
person.familyNameMoreira Bernardino
person.givenNameEugénia
person.givenNameAnabela
person.identifier.ciencia-id9616-F1BC-D8BD
person.identifier.ciencia-id081E-F3B8-316A
person.identifier.orcid0000-0001-5301-5853
person.identifier.orcid0000-0002-6561-5730
person.identifier.scopus-author-id24402754700
relation.isAuthorOfPublication893cf15c-eff8-4e43-949c-c1de6eb87599
relation.isAuthorOfPublication375ebe15-f84c-46a4-a3d9-6e4935a92187
relation.isAuthorOfPublication.latestForDiscovery893cf15c-eff8-4e43-949c-c1de6eb87599

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In this paper we propose a new approach to assign terminals to concentrators using a Hybrid Honey Bees Mating Optimisation algorithm. Honey Bees Mating Optimisation (HBMO) algorithm is a swarm-based optimisation algorithm, which simulates the mating process of real honey bees. We apply a hybridisation of HBMO to solve a combinatorial optimisation problem known as Terminal Assignment Problem (TAP). The purpose is to connect a given set of terminals to a given set of concentrators and minimise the link cost to form a communication network. The feasibility of Hybrid HBMO is demonstrated and compared with the solutions obtained by other algorithms from literature over different TAP instances.
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