CUDA并行化的师生优化算法

Mahdi Abbasi, Mohammed Alghanim, Mohammad Sabri, Mohammad Hossein Khosravi
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引用次数: 0

摘要

进化算法是解决优化问题的有效方法,它不需要任何特殊的假设就能找到最优解。基于教与学的优化利用CUDA并行化技术实现了并行化。结果表明,该算法的并行版本在教学阶段和学习阶段都是快速有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CUDA Parallelization of Teacher-Learner Optimization Algorithm
Evolutionary algorithms are effective methods for solving optimization problems that do not require any special assumptions to find optimal solutions. Optimization based on teaching and learning has been parallelized using CUDA parallelization technology. The results show that the proposed parallel version of the algorithm is fast and efficient in teaching and learning phases.
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