电子学报2009，Vol.37Issue(11)：2595-2599,5.
基于改进的NSGA遗传算法的SOC软硬件划分方法
An Advanced Non-Dominated Sorting Genetic Algorithm Based SOC Hardware/Software Partitioning
摘要
Abstract
An advanced non-dominated sorting genetic algorithm (ANSGA) is proposed, by introducing a removing method for building Pareto non-dominated sets (NDS) and an elitism preserving strategy for generating NDS and new sets,the ANSGA has a global convergence and reduced computational burden. The ANSGA was applied to hardware/software partitioning in the system on a chip (SOC) design. An integer vector coding solution was used for the individual coding, which is for the multi-intellectual property cores SOC design.Some experiment results are given,which show that the proposed method is superior and effective.关键词
片上系统/软硬件划分/遗传算法/整数向量编码Key words
SOC/ hardware/software partitioning/ genetic algorithm/ integer vector coding分类
信息技术与安全科学引用本文复制引用
罗胜钦,马萧萧,陆忆..基于改进的NSGA遗传算法的SOC软硬件划分方法[J].电子学报,2009,37(11):2595-2599,5.基金项目
国家自然科学基金(No.605030000) （No.605030000）
