基于元启发式算法的异构多处理器实时任务分配

2013 Third International Conference on Advances in Computing and Communications Pub Date : 2013-08-29 DOI:10.1109/ICACC.2013.55

K. Prescilla, A. Selvakumar

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引用次数: 2

摘要

本文将遗传算法(GA)和蚁群算法(ACO)应用于异构多处理机的任务调度。其目的是寻找一个可行的计划，并对可行计划的能耗进行优化。

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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Real-time Task Assignment in Heterogeneous Multiprocessor Using Metaheuristic Algorithms

In this article, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) are used for scheduling the tasks in heterogeneous multiprocessor. The aim is to find a feasible schedule and to optimize energy consumption of the feasible schedule.

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2013 Third International Conference on Advances in Computing and Communications

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