Systematic literature review on parallel trajectory-based metaheuristics.

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dc.contributor.authorAlmeida, André Luís Barroso de
dc.contributor.authorLima, Joubert de Castro
dc.contributor.authorCarvalho, Marco Antonio Moreira de
dc.date.accessioned2023-07-24T20:17:21Z
dc.date.available2023-07-24T20:17:21Z
dc.date.issued2022pt_BR
dc.description.abstractIn the past 35 years, parallel computing has drawn increasing interest from the academic community, especially in solving complex optimization problems that require large amounts of computational power. The use of parallel (multi-core and distributed) architectures is a natural and effective alternative to speeding up search methods, such as metaheuristics, and to enhancing the quality of the solutions. This survey focuses particularly on studies that adopt high-performance computing techniques to design, implement, and experiment trajectory-based metaheuristics, which pose a great challenge to high-performance computing and represent a large gap in the operations research literature. We outline the contributions from 1987 to the present, and the result is a complete overview of the current state-of-the-art with respect to multi-core and distributed trajectory-based metaheuristics. Basic notions of high-performance computing are introduced, and different taxonomies for multi-core and distributed architectures and metaheuristics are reviewed. A comprehensive list of 127 publications is summarized and classified according to taxonomies and application types. Furthermore, past and future trends are indicated, and open research gaps are identified.pt_BR
dc.identifier.citationALMEIDA, A. L. B. de; LIMA, J. de C.; CARVALHO, M. A. M. de. Systematic literature review on parallel trajectory-based metaheuristics. ACM Computing Surveys, v. 55, n. 8, artigo 171, 2022. Disponível em: <https://dl.acm.org/doi/pdf/10.1145/3550484>. Acesso em: 06 jul. 2023.pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.ejor.2022.02.015pt_BR
dc.identifier.issn0360-0300
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/17048
dc.identifier.uri2https://dl.acm.org/doi/pdf/10.1145/3550484pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectHigh performance computingpt_BR
dc.subjectParallel computingpt_BR
dc.subjectDistributed computingpt_BR
dc.titleSystematic literature review on parallel trajectory-based metaheuristics.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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