Parallel approach to the firefly algorithm

Página do item simplificado
dc.contributor.authorLINHARES, G.
dc.contributor.authorCOSTA, G.
dc.contributor.authorJACOBSON, L.
dc.contributor.authorRODRIGUES, L.
dc.contributor.authorBALLABENUTE, V.
dc.contributor.authorGuilherme Lopes
dc.contributor.authorRODRIGUES, P.
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-0873-3236
dc.date.accessioned2022-01-12T21:57:09Z
dc.date.available2022-01-12T21:57:09Z
dc.date.issued2018-10-05
dc.description.abstract© 2018 IEEE.Distributed computing is a computation approach in which many calculations are made at the same time in a distributed memory model, exploring the fact that big problems can sometimes be divided into little ones that can be solved at the same time. This paper uses the distributed computing concept to optimize the sequential version of the Firefly Algorithm (FA). Results show that the proposed distributed version is more efficient than the regular existing algorithm.
dc.description.firstpage744
dc.description.lastpage748
dc.identifier.citationLINHARES, G.; COSTA, G.; JACOBSON, L.; RODRIGUES, L.; BALLABENUTE, V.; WACHS-LOPES, G.; RODRIGUES, P. Parallel approach to the firefly algorithm. Proceedings - 2018 44th Latin American Computing Conference, CLEI 2018, p. 744-748, oct. 2018.
dc.identifier.doi10.1109/CLEI.2018.00094
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3773
dc.relation.ispartofProceedings - 2018 44th Latin American Computing Conference, CLEI 2018
dc.rightsAcesso Restrito
dc.subject.otherlanguageAlgorithm Complexity
dc.subject.otherlanguageBio Inspired Algorithm
dc.subject.otherlanguageDistributed Computing
dc.subject.otherlanguageFirefly
dc.subject.otherlanguageOptimization Algorithm
dc.titleParallel approach to the firefly algorithm
dc.typeArtigo de evento
fei.scopus.citations0
fei.scopus.eid2-s2.0-85071096174
fei.scopus.subjectAlgorithm complexity
fei.scopus.subjectBio-inspired algorithms
fei.scopus.subjectDistributed Memory
fei.scopus.subjectFirefly
fei.scopus.subjectFirefly algorithms
fei.scopus.subjectOptimization algorithms
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071096174&origin=inward
Arquivos
Coleções
Artigos