Real-time Task Assignment in Heterogeneous Multiprocessor Using Metaheuristic Algorithms

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

引用次数: 2

Abstract

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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基于元启发式算法的异构多处理器实时任务分配

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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来源期刊

2013 Third International Conference on Advances in Computing and Communications

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