计算机应用与软件Issue(10)：240-243,4.DOI:10.3969/j.issn.1000-386x.2015.10.057
基于组合算法的嵌入式系统软硬件划分方法
HARDWARE-SOFTWARE PARTITIONING OF EMBEDDED SYSTEMS BASED ON COMBINATION ALGORITHM
摘要
Abstract
Hardware-software partitioning of embedded system design is a multiple constraint conditions,multi-objective combinatorial op-timisation problem,single algorithm is difficult to find the optimal design scheme.Therefore,we proposed a novel hardware-software partitio-ning algorithm for embedded system,which combines genetic algorithm with particle swarm optimisation.First,we built the mathematical model of hardware-software partitioning problem for embedded system,and then employed the genetic algorithm to obtain the feasible problem solution,finally used the particle swarm optimisation to find the optimal partitioning scheme,and carried out the simulation experiment to test the performance of the algorithm.Simulation results showed that the proposed method improved the solving efficiency on the problem,and could rapidly find more optimal scheme for hardware-software partitioning.关键词
嵌入式系统/软硬件划分/粒子群算法/遗传算法Key words
Embedded system/Hardware-software partitioning/Genetic algorithm/Particle swarm optimisation分类
信息技术与安全科学引用本文复制引用
陈玮,顾思思..基于组合算法的嵌入式系统软硬件划分方法[J].计算机应用与软件,2015,(10):240-243,4.基金项目
湖南省教育厅科学研究项目（13C847）。 （）
