The Hardware/Software Partitioning in Embedded System by Improved Particle Swarm Optimization Algorithm
Hardware/software partitioning is a key problem in hardware/software co-design. This paper presents a new hardware/software partitioning methodology based on improved particle swarm optimization algorithm. The model of the embedded system was constructed by directed acyclic graph to obtain the objective function.Then improvement strategies are introduced in order to overcome the problems of low precision and divergence in traditional particle swarm optimization algorithm. The improved algorithm can avoid local optimal solution efficiently and be conveniently implemented in the field of hardware/software partitioning.
Qiaoling Tong Xuecheng Zou Qiao Zhang Fei Gao Hengqing Tong
Huazhong University of Science & Technology,Department of Electronic Science & Technology Wuhan University of Technology Department of Mathematics
国际会议
The Fifth IEEE International Symposium on Embedded Computing(SEC 2008)(第五届IEEE国际嵌入式系统计算会议)
北京
英文
43-46
2008-10-06（万方平台首次上网日期，不代表论文的发表时间）