CUDA实现的antlion优化算法

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Parallel Emergent and Distributed Systems Pub Date : 2023-02-05 DOI:10.1080/17445760.2023.2172576

D. Davendra, Magdalena Metlicka, M. Bialic-Davendra

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引用次数: 0

摘要

本文介绍了一种基于CUDA平台的并行版蚁狮优化算法。高效的内核、内存和线程管理方法已经开发出来，以最大限度地提高其性能。新算法在15个不同规模的可扩展问题上与规范算法进行了对比测试，共进行了172次实验。使用相对百分比差异和显著性测试比较了解决方案成本和执行时间。结果表明，CUDA antlion算法在保持相同解质量的情况下，在执行时间上有显著改善。

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CUDA implementation of the antlion optimization algorithm

A parallel version of Ant Lion Optimizer algorithm using the CUDA platform is introduced in this paper. Efficient kernel, memory and thread management approaches have been developed to maximize its performance. The new algorithm was tested against the canonical algorithm on 15 scalable problems of different sizes, with a total of 172 experiments. The solution costs and the execution times were compared using relative percentage difference and significance tests. The results showed the CUDA antlion algorithm significantly improves upon the execution time, while retaining the same solution quality.

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来源期刊

International Journal of Parallel Emergent and Distributed Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.30

自引率

0.00%

发文量