期刊
IEICE ELECTRONICS EXPRESS
卷 11, 期 3, 页码 -出版社
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
DOI: 10.1587/elex.11.20130975
关键词
multiprocessors; task assignment; heterogeneous processors; particle swarm optimization; real time systems
In this paper a Heuristic Based Improved Linearly Decreasing Weight Particle Swarm Optimization algorithm (ILDW-PSO) is proposed to solve real time task assignment in heterogeneous processors. To achieve better quality solution to the particles, existing LDW-PSO encompasses to ILDW- PSO, which includes Genetic algorithm mutation operator. The objective is to minimize the maximum utilization of the processors with energy aware load balance condition which reduces the energy consumption. Experimental results show that ILDW-PSO outperforms the existing PSO algorithms interms of maximum utilization and normalized energy consumption for both consistent utilization matrix and inconsistent utilization matrix.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据