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Parallel approach to the firefly algorithm

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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

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

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