%0 Journal Article
%T Division of hardware and software of SOC system based on improved quantum multi-objective evolutionary algorithm<br>改进量子多目标进化算法用于SOC软硬件划分*
%A GAO Guo-hong
%A FU Jun-hui
%A LV Jing-qiao
%A <br>高国红
%A 付俊辉
%A 吕精巧
%J 计算机应用研究
%D 2010
%I 
%X This paper used quantum multi-objective evolutionary algorithm to division of software and hardware of SOC system, which model obtained by abstract from task-level. Improved the quantum multi-objective evolutionary algorithm for the SOC system design features. The quantum individual coding schemes was to avoid the redundancy of individual codec. And the concept of Pareto optimal combination with the multi-objective optimization in order to achieve a balance between system size, power and time parameters of the hardware and software division method. Simulation comparison experiments show that the algorithm can get more than one run Pareto optimal solution, for each trade-off analysis between the objective function provides an effective tool to improve the design efficiency. To meet system performance requirements, it can be more complex SOC system design goals of the global optimization program.
%K hardware-software partitioning
%K quantum multi-objective evolutionary algorithm(QMEA)
%K SOC system
%K multi-objective optimization<br>软硬件划分
%K 量子多目标进化算法
%K SOC系统
%K 多目标优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=5C379757AA59DAC311E953943998FF37&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=720E3E83040CE0A9&eid=11E6EADE165F1B0D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=16