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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】 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.
【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.
【Key words】 SOC; hardware/software partitioning; genetic algorithm; integer vector coding;
- 【文献出处】 电子学报 ,Acta Electronica Sinica , 编辑部邮箱 ,2009年11期
- 【分类号】TN47;TP18
- 【被引频次】26
- 【下载频次】299