A novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteria

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dc.contributor.authorSalcedo-Sanz, Sancho
dc.contributor.authorGarcia-Diaz, Pilar
dc.contributor.authorDel Ser, Javier
dc.contributor.authorBilbao, Miren Nekane
dc.contributor.authorPortilla-Figueras, Jose Antonio
dc.contributor.institutionIA
dc.date.issued2016-08-15
dc.descriptionPublisher Copyright: © 2016 Elsevier Ltd. All rights reserved.
dc.description.abstractThis paper proposes a novel optimization algorithm for grouping problems, the Grouping Coral Reefs Optimization algorithm, and describes its application to a Mobile Network Deployment Problem (MNDP) under four optimization criteria. These criteria include economical cost and coverage, and also electromagnetic pollution control and capacity constraints imposed at the base stations controllers, which are novel in this study. The Coral Reefs Optimization algorithm (CRO) is a recently-proposed bio-inspired approach for optimization, based on the simulation of the processes that occur in coral reefs, including reproduction, fight for space or depredation. This paper presents a grouping version of the CRO, which has not previously evaluated before. Grouping meta-heuristics are characterized by variable-length encoding solutions, and have been successfully applied to a number of different optimization and assignment problems. The GCRO proposed is a novel contribution to the intelligent systems field, which is able to improve results obtained by two alternative grouping algorithms such as grouping genetic algorithms and grouping Harmony Search. The performance of the proposed GCRO and the algorithms for comparison has been tested with real data in a case study of a MNDP in Alcalá de Henares, Madrid, Spain.en
dc.description.statusPeer reviewed
dc.format.extent15
dc.format.extent2859654
dc.identifier.citationSalcedo-Sanz , S , Garcia-Diaz , P , Del Ser , J , Bilbao , M N & Portilla-Figueras , J A 2016 , ' A novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteria ' , unknown , vol. unknown , pp. 388-402 . https://doi.org/10.1016/j.eswa.2016.02.032
dc.identifier.doi10.1016/j.eswa.2016.02.032
dc.identifier.otherresearchoutputwizard: 11556/144
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84960155930&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofunknown
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsCoral Reefs Optimization
dc.subject.keywordsMobile network deployment
dc.subject.keywordsGrouping-based heuristics
dc.subject.keywordsElectromagnetic pollution minimization
dc.subject.keywordsBTS capacity
dc.subject.keywordsCoral Reefs Optimization
dc.subject.keywordsMobile network deployment
dc.subject.keywordsGrouping-based heuristics
dc.subject.keywordsElectromagnetic pollution minimization
dc.subject.keywordsBTS capacity
dc.subject.keywordsGeneral Engineering
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsSDG 14 - Life Below Water
dc.subject.keywordsFunding Info
dc.subject.keywordsSpanish Ministerial Commission of Science and Technology (MICYT), TIN2014-54583-C2-2-R_x000D_ Comunidad AutĂłnoma de Madrid, S2013ICE-2933_02
dc.subject.keywordsSpanish Ministerial Commission of Science and Technology (MICYT), TIN2014-54583-C2-2-R_x000D_ Comunidad AutĂłnoma de Madrid, S2013ICE-2933_02
dc.titleA novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteriaen
dc.typejournal article
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