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基于免疫算法的嵌入式系统软硬件划分方法
引用本文:李晖,姚放吾,邓新颖,王建新. 基于免疫算法的嵌入式系统软硬件划分方法[J]. 计算机工程与设计, 2006, 27(22): 4239-4242
作者姓名:李晖  姚放吾  邓新颖  王建新
作者单位:南京邮电大学,计算机学院,江苏,南京,210003;南京邮电大学,计算机学院,江苏,南京,210003;南京邮电大学,计算机学院,江苏,南京,210003;南京邮电大学,计算机学院,江苏,南京,210003
基金项目:江苏省高校自然科学基金
摘    要:软硬件划分是嵌入式系统协同设计的关键问题之一。提出了一种划分模型,并通过改进的免疫算法解决了在多约束条件下软硬件划分的优化问题。在该免疫算法中,引入了免疫算子,通过从以往经验中提取疫苗,在生成子代过程中注入疫苗,使划分算法得到了优化。实验表明该算法具有较快的收敛速度,并且在总体性能上优于传统遗传算法。

关 键 词:嵌入式系统  协同设计  软硬件划分  免疫算法  遗传算法
文章编号:1000-7024(2006)22-4239-04
收稿时间:2005-09-28
修稿时间:2005-09-28

Hardware/software partitioning method based on immune algorithm
LI Hui,YAO Fang-wu,DENG Xin-ying,WANG Jian-xin. Hardware/software partitioning method based on immune algorithm[J]. Computer Engineering and Design, 2006, 27(22): 4239-4242
Authors:LI Hui  YAO Fang-wu  DENG Xin-ying  WANG Jian-xin
Affiliation:College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:Hardware/software partitioning is one of the key problems in embedded system co-design. A kind of partitioning model is presented, which solves the problem of hardware/software partitioning under the multi-constraint condition through the improved immune algorithm. An idea of immune operator is introduced in this immune algorithm, which extracts vaccines from the past experience and injects them into the offspring, thereby optimizes the partitioning algorithm. Experiment shows that this approach has faster convergence speed and is better than the simple genetic algorithm as a whole.
Keywords:embedded system   co-design   hardware/softwarepartitioning   immune algorithm   genetic algorithm
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