摘要
针对嵌入式系统的软硬件划分问题,在混合优化策略微分进化算法的基础上,提出一种采用随机变异策略的改进微分进化算法。在扩大最优向量影响范围的同时,减小变异向量受最优向量影响的程度。实验结果表明,与混合优化策略微分进化算法相比,该算法具有更快的收敛速度和更高的可靠性,能够较好地解决嵌入式系统的软硬件划分问题。
Aiming at the software/hardware partitioning problem of the embedded system, this paper presents a modified Differential Evolution（DE） algorithm by employing the random mutation strategy on the foundation of hybrid DE algorithm. The modified algorithm extends the influence of the best vector and meanwhile mitigates the impact upon mutation vectors brought about by the best vector. Experimental results demonstrate that compared with the hybrid DE algorithm, the modified algorithm enjoys faster convergence speed and higher reliability, and can effectively solve the problem of hardware-software partitioning.
出处
《计算机工程》
CAS
CSCD
2012年第16期284-286,290,共4页
Computer Engineering
关键词
随机优化算法
约束优化
微分进化算法
变异策略
嵌入式系统
软硬件划分
stochastic optimization algorithm
constrained optimization
Differential Evolution（DE） algorithm
mutation strategy
embedded system
software/hardware partitioning
