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An approach to support generic topologies in distributed PSO algorithms in Spark
| dc.contributor.author | Pardo, Xoán C. | |
| dc.contributor.author | González, Patricia | |
| dc.contributor.author | Banga, Julio R. | |
| dc.contributor.author | Doallo, Ramón | |
| dc.date.accessioned | 2024-05-29T11:53:48Z | |
| dc.date.available | 2024-05-29T11:53:48Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Pardo, 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.isbn | 978-950-34-2271-7 | |
| dc.identifier.uri | http://hdl.handle.net/2183/36703 | |
| 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.sponsorship | Xunta de Galicia; ED431C 2021/30 | es_ES |
| dc.description.sponsorship | This 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.language.iso | eng | es_ES |
| dc.publisher | Armando De Giusti, Marcelo Naiouf, Franco Chichizola, Enzo Rucci, Laura De Giusti. Universidad Nacional de La Plata. Facultad de Informática. | es_ES |
| dc.relation | info: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 APLICACIONES | es_ES |
| dc.relation.uri | https://doi.org/10.35537/10915/155281 | es_ES |
| dc.rights | Atribución-NoComercial-CompartirIgual 3.0 España | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ | * |
| dc.subject | Particle Swarm Optimization | es_ES |
| dc.subject | Metaheuristic Optimization Frameworks | es_ES |
| dc.subject | Social topology | es_ES |
| dc.title | An approach to support generic topologies in distributed PSO algorithms in Spark | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.startPage | 2 | es_ES |
| UDC.endPage | 7 | es_ES |
| dc.identifier.doi | 10.35537/10915/155281 | |
| UDC.conferenceTitle | 11th Conference on Cloud Computing, Big Data & Emerging Topics (JCC-BD&ET 2023) | es_ES |
