An approach to support generic topologies in distributed PSO algorithms in Spark

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitle11th Conference on Cloud Computing, Big Data & Emerging Topics (JCC-BD&ET 2023)es_ES
UDC.departamentoEnxeñaría de Computadoreses_ES
UDC.endPage7es_ES
UDC.grupoInvGrupo de Arquitectura de Computadores (GAC)es_ES
UDC.startPage2es_ES
dc.contributor.authorPardo, Xoán C.
dc.contributor.authorGonzález, Patricia
dc.contributor.authorBanga, Julio R.
dc.contributor.authorDoallo, Ramón
dc.date.accessioned2024-05-29T11:53:48Z
dc.date.available2024-05-29T11:53:48Z
dc.date.issued2023
dc.description.abstract[Abstract] Particle Swarm Optimization (PSO) is a popular population-based search algorithm that has been applied to all kinds of complex optimization problems. Although the performance of the algorithm strongly depends on the social topology that determines the interaction between the particles during the search, current Metaheuristic Optimization Frameworks (MOFs) provide limited support for topologies. In this paper, we present an approach to support generic topologies in distributed PSO algorithms within a framework for the development and execution of population- based metaheuristics in Spark, which is currently under development.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/30es_ES
dc.description.sponsorshipThis work was supported by the Ministry of Science and Innovation of Spain (PID2019-104184RB-I00, AEI, 10.13039/501100011033) and by Xunta de Galicia (Consolidation Program of Competitive Reference Groups, ref. ED431C 2021/30).es_ES
dc.identifier.citationPardo, X. C., González, P., Banga, J. R., & Doallo, R. (2023). An approach to support generic topologies in distributed PSO algorithms in Spark. In XI Jornadas de Cloud Computing, Big Data & Emerging Topics (La Plata, 27 al 29 de junio de 2023).es_ES
dc.identifier.doi10.35537/10915/155281
dc.identifier.isbn978-950-34-2271-7
dc.identifier.urihttp://hdl.handle.net/2183/36703
dc.language.isoenges_ES
dc.publisherArmando De Giusti, Marcelo Naiouf, Franco Chichizola, Enzo Rucci, Laura De Giusti. Universidad Nacional de La Plata. Facultad de Informática.es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104184RB-I00/ES/DESAFIOS ACTUALES EN HPC: ARQUITECTURAS, SOFTWARE Y APLICACIONESes_ES
dc.relation.urihttps://doi.org/10.35537/10915/155281es_ES
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectParticle swarm optimizationes_ES
dc.subjectMetaheuristic optimization frameworkes_ES
dc.subjectSocial topologyes_ES
dc.titleAn approach to support generic topologies in distributed PSO algorithms in Sparkes_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication39e887b1-611f-4ca0-9fc3-32245bf93f9f
relation.isAuthorOfPublication0ed2a744-9046-4c62-8300-a17ef95bea86
relation.isAuthorOfPublicationb3302f65-05d3-4b2c-b8b3-8503e58bba5e
relation.isAuthorOfPublication.latestForDiscovery39e887b1-611f-4ca0-9fc3-32245bf93f9f

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