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Application of estimation of distribution algorithm in HW/SW partition

机译:分布估计算法在硬件/软件分区中的应用

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Hardware/software (HW/SW) partitioning problem is NP hard problem. An improved algorithm based on estimation of distribution algorithms is proposed to solve HW/SW partitioning problem. Estimation of distribution algorithm is good in globe search but poor in local search and may suffer from “premature convergence” beacause of diversity loss. The improved algorithm strengthens the local searching ability by cloning and searching the elite solutions and improves the diversity loss by correcting the probability model. Numerical simulation is carried out and compared with existing algorithm, the results show the effectiveness of the improved estimation of distribution algorithm in solving HW/SW partitioning problem.
机译:硬件/软件(HW / SW)分区问题是NP难题。提出了一种基于分布估计算法的改进算法来解决硬件/软件分区问题。分布算法的估计在球形搜索中是好的,但在局部搜索中却很差,并且可能由于多样性损失而遭受“过早收敛”。改进后的算法通过克隆和搜索精英解来增强局部搜索能力,并通过校正概率模型来改善分集损失。进行了数值模拟,并与现有算法进行了比较,结果表明改进的分布算法估计在解决硬件/软件分区问题上是有效的。

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