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基于改进的NSGA遗传算法的SOC软硬件划分方法
引用本文: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)
作者姓名:罗胜钦  马萧萧  陆忆
作者单位:同济大学电子与信息工程学院,上海,200092
摘    要:在遗传算法中引入精英保持策略构造非支配集和生成新群体,并用排除法构造非支配集,本文得到了一种改进的非支配集分类遗传算法,该算法具有全局收敛特性,并简化了计算复杂性.本文将此算法应用于SOC设计的软硬件划分.针对SOC系统设计中存在多个IP核的特点,采用整数向量的个体编码方案,避免了个体编码解码的冗余.本文给出了仿真实验结果,验证了该划分方法的有效性.

关 键 词:片上系统  软硬件划分  遗传算法  整数向量编码

An Advanced Non-Dominated Sorting Genetic Algorithm Based SOC Hardware/Software Partitioning
LUO Sheng-qin,MA Xiao-xiao,LU Yi. An Advanced Non-Dominated Sorting Genetic Algorithm Based SOC Hardware/Software Partitioning[J]. Acta Electronica Sinica, 2009, 37(11)
Authors:LUO Sheng-qin  MA Xiao-xiao  LU Yi
Affiliation:LUO Sheng-qin,MA Xiao-xiao,LU Yi(School of Electronic Information Engineering,Tongji University,Shanghai 200092,China)
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 e...
Keywords:SOC  hardware/software partitioning  genetic algorithm  integer vector coding
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