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Applying Scatter Search to the Location Areas Problem

2009-09Book part Restricted access
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datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
dc.contributor.authorLuz, Sónia Maria Almeida da
dc.contributor.authorVega-Rodríguez, Miguel A.
dc.contributor.authorGómez-Pulido, Juan A.
dc.contributor.authorSánchez-Pérez, Juan M.
dc.date.accessioned2025-06-06T14:25:22Z
dc.date.available2025-06-06T14:25:22Z
dc.date.issued2009-09
dc.description10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009, 23 September 2009 through 26 September 2009 - Code 79260
dc.description9783642043949 - EISBN
dc.description.abstractThe Location Areas scheme is one of the most common strategies to solve the location management problem, which corresponds to the management of the mobile network configuration with the objective of minimizing the involved costs. This paper presents a new approach that uses a Scatter Search based algorithm applied to the Location Areas scheme as a cost optimization problem. With this work we pretend to analyze and set the main parameters of scatter search, using four distinct test networks and compare our results with those achieved by other authors. This is a new approach to this problem and the results obtained are very encouraging because they show that the proposed technique outperforms the existing methods in the literature.eng
dc.description.sponsorshipThis work was partially funded by the Spanish Ministry of Sci ence and Innovation and FEDER under the contract TIN2008-06491-C04-04 (the M* project). Thanks also to the Polytechnic Institute of Leiria, for the economic support offered to Sónia M. Almeida-Luz to make this research.
dc.identifier.citationAlmeida-Luz, S.M., Vega-Rodríguez, M.A., Gómez-Pulido, J.A., Sánchez-Pérez, J.M. (2009). Applying Scatter Search to the Location Areas Problem. In: Corchado, E., Yin, H. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2009. IDEAL 2009. Lecture Notes in Computer Science, vol 5788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04394-9_97.
dc.identifier.doi10.1007/978-3-642-04394-9_97
dc.identifier.eissn1611-3349
dc.identifier.isbn9783642043932
dc.identifier.isbn9783642043949
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10400.8/13166
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationTIN2008-06491-C04-04
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-642-04394-9_97
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofIntelligent Data Engineering and Automated Learning - IDEAL 2009
dc.rights.uriN/A
dc.subjectScatter Search
dc.subjectLocation Areas problem
dc.subjectLocation Management
dc.subjectMobile Networks
dc.titleApplying Scatter Search to the Location Areas Problemeng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage798
oaire.citation.startPage791
oaire.citation.titleLecture Notes in Computer Science
oaire.citation.volume5788
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlmeida da Luz
person.givenNameSónia Maria
person.identifier.orcid0000-0003-1065-852X
relation.isAuthorOfPublication0da424a1-c370-4f2e-b700-53b4906abaa6
relation.isAuthorOfPublication.latestForDiscovery0da424a1-c370-4f2e-b700-53b4906abaa6

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The Location Areas scheme is one of the most common strategies to solve the location management problem, which corresponds to the management of the mobile network configuration with the objective of minimizing the involved costs. This paper presents a new approach that uses a Scatter Search based algorithm applied to the Location Areas scheme as a cost optimization problem. With this work we pretend to analyze and set the main parameters of scatter search, using four distinct test networks and compare our results with those achieved by other authors. This is a new approach to this problem and the results obtained are very encouraging because they show that the proposed technique outperforms the existing methods in the literature.
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