An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil

Detalhes bibliográficos
Autor(a) principal: Xavier Júnior, Sílvio Fernando Alves
Data de Publicação: 2020
Outros Autores: Xavier, Érika Fialho Morais, Jale, Jader da Silva, Oliveira, Tiago Almeida de, Sabino, Antonio Leopoldo Cardoso
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/5841
Resumo: We study the daily precipitation in the municipality of Campina Grande, estimating the parameters of Gamma, Log-Normal, and Weibull distributions. To evaluate the parameter estimators, we compared the Particle Swarm Optimization (PSO) versus Maximum Likelihood Estimation (MLE) to analyze and understand the behaviour of the daily precipitation in Campina Grande. In most cases, our results show evidence that the PSO algorithm is an efficient and robust technique. Notwithstanding, the algorithm also presents an efficient parameter estimation due to its fast convergence.
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spelling An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, BrazilUna aplicación del algoritmo Particle Swarm Optimization (PSO) con datos de precipitación diaria en Campina Grande, Paraíba, BrasilUma aplicação do algoritmo Particle Swarm Optimization (PSO) com dados diários de precipitação em Campina Grande, Paraíba, BrasilPrecipitaciónPSOCampina grande.PSOPrecipitaçãoCampina grande.PSOPrecipitationCampina Grande.We study the daily precipitation in the municipality of Campina Grande, estimating the parameters of Gamma, Log-Normal, and Weibull distributions. To evaluate the parameter estimators, we compared the Particle Swarm Optimization (PSO) versus Maximum Likelihood Estimation (MLE) to analyze and understand the behaviour of the daily precipitation in Campina Grande. In most cases, our results show evidence that the PSO algorithm is an efficient and robust technique. Notwithstanding, the algorithm also presents an efficient parameter estimation due to its fast convergence.Estudiamos la precipitación diaria en la ciudad de Campina Grande al estimar los parámetros de las distribuciones Gamma, Log-Normal y Weibull comparando la optimización de la optimización de enjambre de partículas (PSO) versus la estimación de máxima verosimilitud (MLE) para analizar y también comprender el comportamiento de la precipitación diario. en Campina Grande En la mayoría de los casos, los resultados obtenidos mostraron evidencia de que el algoritmo PSO es una técnica eficiente y robusta. Sin embargo, el algoritmo también presenta una alternativa eficiente para la estimación de parámetros debido a su rápida convergencia.Estudamos a precipitação diária na cidade de Campina Grande estimando os parâmetros das distribuições Gamma, Log-Normal e Weibull comparando a Otimização do algoritmo Particle Swarm Optimization (PSO) versus a Estimativa de Máxima Verossimilhança (MLE) para analisar e também entender o comportamento da precipitação diária. em Campina Grande. Na maioria dos casos, os resultados obtidos mostraram evidências de que o algoritmo PSO é uma técnica eficiente e robusta. Não obstante, o algoritmo também apresenta uma eficiente alternativa para a estimativa de parâmetros devido à sua rápida convergência.Research, Society and Development2020-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/584110.33448/rsd-v9i8.5841Research, Society and Development; Vol. 9 No. 8; e444985841Research, Society and Development; Vol. 9 Núm. 8; e444985841Research, Society and Development; v. 9 n. 8; e4449858412525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/5841/5025Copyright (c) 2020 Tiago Almeida De Oliveira, Antonio Leopoldo Cardoso Sabino, Silvio Fernando Alves Xavier Junior, Érika Fialho Morais Xavier, Jader da Silva Jaleinfo:eu-repo/semantics/openAccessXavier Júnior, Sílvio Fernando AlvesXavier, Érika Fialho MoraisJale, Jader da SilvaOliveira, Tiago Almeida deSabino, Antonio Leopoldo Cardoso2020-08-20T18:00:17Zoai:ojs.pkp.sfu.ca:article/5841Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:29:13.733640Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
Una aplicación del algoritmo Particle Swarm Optimization (PSO) con datos de precipitación diaria en Campina Grande, Paraíba, Brasil
Uma aplicação do algoritmo Particle Swarm Optimization (PSO) com dados diários de precipitação em Campina Grande, Paraíba, Brasil
title An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
spellingShingle An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
Xavier Júnior, Sílvio Fernando Alves
Precipitación
PSO
Campina grande.
PSO
Precipitação
Campina grande.
PSO
Precipitation
Campina Grande.
title_short An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
title_full An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
title_fullStr An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
title_full_unstemmed An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
title_sort An application of Particle Swarm Optimization (PSO) algorithm with daily precipitation data in Campina Grande, Paraíba, Brazil
author Xavier Júnior, Sílvio Fernando Alves
author_facet Xavier Júnior, Sílvio Fernando Alves
Xavier, Érika Fialho Morais
Jale, Jader da Silva
Oliveira, Tiago Almeida de
Sabino, Antonio Leopoldo Cardoso
author_role author
author2 Xavier, Érika Fialho Morais
Jale, Jader da Silva
Oliveira, Tiago Almeida de
Sabino, Antonio Leopoldo Cardoso
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Xavier Júnior, Sílvio Fernando Alves
Xavier, Érika Fialho Morais
Jale, Jader da Silva
Oliveira, Tiago Almeida de
Sabino, Antonio Leopoldo Cardoso
dc.subject.por.fl_str_mv Precipitación
PSO
Campina grande.
PSO
Precipitação
Campina grande.
PSO
Precipitation
Campina Grande.
topic Precipitación
PSO
Campina grande.
PSO
Precipitação
Campina grande.
PSO
Precipitation
Campina Grande.
description We study the daily precipitation in the municipality of Campina Grande, estimating the parameters of Gamma, Log-Normal, and Weibull distributions. To evaluate the parameter estimators, we compared the Particle Swarm Optimization (PSO) versus Maximum Likelihood Estimation (MLE) to analyze and understand the behaviour of the daily precipitation in Campina Grande. In most cases, our results show evidence that the PSO algorithm is an efficient and robust technique. Notwithstanding, the algorithm also presents an efficient parameter estimation due to its fast convergence.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/5841
10.33448/rsd-v9i8.5841
url https://rsdjournal.org/index.php/rsd/article/view/5841
identifier_str_mv 10.33448/rsd-v9i8.5841
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/5841/5025
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 8; e444985841
Research, Society and Development; Vol. 9 Núm. 8; e444985841
Research, Society and Development; v. 9 n. 8; e444985841
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052803076587520

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