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粒子群优化在嵌入式软硬件划分中的应用
引用本文:周雁,陈盈,张敏,彭博夫.粒子群优化在嵌入式软硬件划分中的应用[J].计算机应用与软件,2011(9).
作者姓名:周雁  陈盈  张敏  彭博夫
作者单位:华东师范大学计算中心;西藏大学工学院;台州学院数信学院;
摘    要:针对嵌入式系统设计中的软硬件划分问题,提出了一种基于粒子群优化(PSO)算法的划分策略,并将该算法与整数线性规划、遗传算法、蚁群算法等进行计算机仿真比较。结果表明,该方法获得的最优解优于遗传算法和蚁群算法两种元启发式算法,充分接近由整数线性规划得到的最优解;在算法执行时间方面,该方法也优于其它三种算法。

关 键 词:粒子群优化  软硬件划分  元启发式  整数线性规划  群智能  

APPLYING PARTICLES SWARM OPTIMISATION IN HARDWARE/SOFTWARE PARTITIONING IN EMBEDDED SYSTEM
Zhou Yan, Chen Ying Zhang Min Peng Bofu.APPLYING PARTICLES SWARM OPTIMISATION IN HARDWARE/SOFTWARE PARTITIONING IN EMBEDDED SYSTEM[J].Computer Applications and Software,2011(9).
Authors:Zhou Yan  Chen Ying Zhang Min Peng Bofu
Affiliation:Zhou Yan1,2 Chen Ying3 Zhang Min1 Peng Bofu1 1(Computer Center,East China Normal University,Shanghai 200062,China) 2(College of Engineering,Tibet University,Lhasa 850000,Tibet,China) 3(School of Mathematics and Information Engineering,Taizhou University,Linhai 317000,Zhejiang,China)
Abstract:To solve the hardware/software partitioning issue in embedded system design,this paper proposes a partitioning strategy based on particles swarm optimisation algorithm.Simulation comparison on computer was performed between the algorithm and the integer linear programming,the genetic algorithm and the ant colony optimisation.Result reveals that the optimal solution derived from this algorithm outperforms that derived from other two meta-heuristic algorithms,the genetic algorithm and the ant colony optimisat...
Keywords:Particles swarm optimisation Hardware/software partitioning Meta-heuristic Integer linear programming Swarm intelligence  
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