Genetic algorithms and multiprocessor task scheduling: A systematic literature review

  • Eduardo da Silva Instituto Federal do Triângulo Mineiro
  • Paulo Gabriel Universidade Federal de Uberlândia

Resumo


This paper reports a systematic review of the literature about genetic algorithms applied to the multiprocessor task scheduling problem. After defining a protocol with the main rules of this review, the research was performed considering journal papers published between 1990 and 2018. At the end of this process, 37 works were recovered and analyzed. By performing a meta-analysis, a variety of information was extracted and summarized, including impact factor, Eigenfactor score, scenarios considered, optimization metrics, volume of citations, and others.

Palavras-chave: Genetic algorithms, Multiprocessor task scheduling, DAG, Systematic literature review

Referências

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Publicado
15/10/2019
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SILVA, Eduardo da; GABRIEL, Paulo. Genetic algorithms and multiprocessor task scheduling: A systematic literature review. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 16. , 2019, Salvador. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 250-261. DOI: https://doi.org/10.5753/eniac.2019.9288.