基于进化策略的多处理器系统任务调度

Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence Pub Date : 1994-06-27 DOI:10.1109/ICEC.1994.349927

G. Greenwood, Ajay Gupta, Kelly McSweeney

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引用次数: 27

摘要

多处理器系统中的任务调度是一个难题。本文描述了一种基于进化策略(使用遗传算法)的方法来帮助找到良好的任务分配。该技术通过在双处理器分布式系统上调度数字信号处理算法来说明。

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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Scheduling tasks in multiprocessor systems using evolutionary strategies

Scheduling tasks in multiprocessor systems is a difficult problem. The paper describes a method based upon evolutionary strategies (using genetic algorithms) to aid in finding good task assignments. The technique is illustrated by scheduling a digital signal processing algorithm on a two processor distributed system.<>

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Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence

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