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Solving the reporting cells problem by using a parallel team of evolutionary algorithms

2011-02-08Artigo científico Acesso restrito
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorD. L. Gonzalez-Alvarez
dc.contributor.authorA. Rubio-Largo
dc.contributor.authorM. A. Vega-Rodriguez
dc.contributor.authorAlmeida-Luz, Sónia M.
dc.contributor.authorJ. A. Gomez-Pulido
dc.contributor.authorJ. M. Sanchez-Perez
dc.date.accessioned2026-02-18T16:40:52Z
dc.date.available2026-02-18T16:40:52Z
dc.date.issued2011-02-08
dc.description.abstractIn this work, we present a new approach to solve the location management problem by using the reporting cells strategy. Location management is a very important and complex problem in mobile computing which aims to minimize the costs involved. In the reporting cells location management scheme, some cells in the network are designated as reporting cells (RCs). The choice of these cells is not trivial because they affect directly to the cost of the mobile network. This article is focused on the use of high performance computing to execute a parallel heuristic that places optimally the RCs in a mobile network, minimizing its total cost. The main goal of this work is to demonstrate that the collaborative work of different evolutionary algorithms can obtain very good results. For this reason, we have implemented a parallel heuristic and six evolutionary algorithms that works in a parallel way on a cluster to solve the RCs problem.eng
dc.description.sponsorshipThis work was partially funded by the Spanish Ministry of Science and Innovation and ERDF (European Regional Development Fund), under the contract TIN2008-06491-C04-04 (the M* Project). D.L. G.-A´ . and A´ .R.-L. are supported by research grants from Fundación Valhondo and Junta de Extremadura, respectively.
dc.identifier.citationDavid L. González-Álvarez, Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, Sónia M. Almeida-Luz, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez, Solving the reporting cells problem by using a parallel team of evolutionary algorithms, Logic Journal of the IGPL, Volume 20, Issue 4, August 2012, Pages 722–731, https://doi.org/10.1093/jigpal/jzr016
dc.identifier.doi10.1093/jigpal/jzr016
dc.identifier.issn1367-0751
dc.identifier.issn1368-9894
dc.identifier.urihttp://hdl.handle.net/10400.8/15675
dc.language.isoeng
dc.peerreviewedyes
dc.publisherOxford University Press (OUP)
dc.relation.ispartofLogic Journal of IGPL
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHigh performance computing
dc.subjectReporting cells
dc.subjectParallel heuristic
dc.subjectEvolutionary algorithms
dc.titleSolving the reporting cells problem by using a parallel team of evolutionary algorithmseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage731
oaire.citation.issue4
oaire.citation.startPage722
oaire.citation.volume20
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlmeida da Luz
person.givenNameSónia Maria
person.identifier.ciencia-id0000-0003-1065-852X
person.identifier.orcid0000-0003-1065-852X
person.identifier.scopus-author-id26767508100
relation.isAuthorOfPublication0da424a1-c370-4f2e-b700-53b4906abaa6
relation.isAuthorOfPublication.latestForDiscovery0da424a1-c370-4f2e-b700-53b4906abaa6

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