Parallelization of Swarm Intelligence Algorithms: Literature Review

نویسندگان

چکیده

Abstract Swarm Intelligence (SI) algorithms are frequently applied to tackle complex optimization problems. SI is especially used when good solutions requested for NP hard problems within a reasonable response time. And such possess very high dimensionality, dynamic nature, or present intrinsic intertwined independent variables, computational costs may still be too high. Therefore, new approaches and hardware support needed speed up processing. Nowadays, with the popularization of GPU multi-core processing, parallel versions can provide required performance on those though This paper aims describe state art approaches, summarize key points addressed, also identify research gaps that could addressed better. The scope this review considers recent papers mainly focusing implementations most algorithms. use nested parallelism particular interest, since one level often not sufficient exploit power contemporary hardware. sources were main scientific databases filtered accordingly set requirements literature review.

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ژورنال

عنوان ژورنال: International Journal of Parallel Programming

سال: 2022

ISSN: ['0885-7458', '1573-7640']

DOI: https://doi.org/10.1007/s10766-022-00736-3