Achieving super-linearity speedup by implementing randomized problem of genetics algorithm

P. Yugopuspito, A. Reynaldi, D. Krisnadi, S. Setyven
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引用次数: 1

Abstract

In this paper, Amdahl's Law for multicore processors is revisited and applied to the case of parallel genetic algorithm. This paper uses parallel master-slave model for function evaluation and independent identical processing model for genetic algorithm. Moreover, the super-linear speedup for parallel genetic algorithm has been found in one of our algorithm.
实现遗传算法的随机化问题,实现超线性加速
本文重新研究了多核处理器的阿姆达尔定律,并将其应用于并行遗传算法。本文采用并行主从模型求解函数,采用独立相同处理模型求解遗传算法。此外,在我们的一种算法中发现了并行遗传算法的超线性加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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