Parallel approach to the firefly algorithm
N/D
Tipo de produção
Artigo de evento
Data de publicação
2018-10-05
Texto completo (DOI)
Periódico
Proceedings - 2018 44th Latin American Computing Conference, CLEI 2018
Editor
Texto completo na Scopus
Citações na Scopus
0
Autores
LINHARES, G.
COSTA, G.
JACOBSON, L.
RODRIGUES, L.
BALLABENUTE, V.
Guilherme Lopes
RODRIGUES, P.
Orientadores
Resumo
© 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.
Citação
LINHARES, 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.
Palavras-chave
Keywords
Algorithm Complexity; Bio Inspired Algorithm; Distributed Computing; Firefly; Optimization Algorithm
Assuntos Scopus
Algorithm complexity; Bio-inspired algorithms; Distributed Memory; Firefly; Firefly algorithms; Optimization algorithms