NDLI: Hardware/Software Partitioning in Embedded System Based on Novel United Evolutionary Algorithm Scheme

Content Provider	IEEE Xplore Digital Library
Author	Qiaoling Tong Xuecheng Zou Hengqing Tong Fei Gao Qiao Zhang
Copyright Year	2008
Description	Author affiliation: Dept. of Math., Wuhan Univ. of Technol., Wuhan (Hengqing Tong; Fei Gao; Qiao Zhang) \|\| Dept. of Electron. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan (Qiaoling Tong; Xuecheng Zou)
Abstract	Hardware/software partitioning is a key problem in hardware/software co-design and global optimums detection of the objective function is of vital importance in hardware/software partitioning. Though stochastic optimization strategies simulating evolution process are proved to be valuable tools, the balance between exploitation and exploration of which is difficult to be maintained. In this paper, the model of the embedded system was constructed by directed acyclic graph to obtain the objective function. Then some established techniques to improve the performance of evolutionary computation are discussed, such as uniform design,deflection and stretching the objective function, and space contraction. A novel scheme of evolutionary algorithms is proposed to solve the optimization problems through adding evolution operations to the searching space contracted regularly with these techniques. A typical evolutionary algorithm differential evolution is chosen to exhibit the performance of new scheme. The improved algorithm can avoid local optimal solution efficiently and be conveniently implemented in the field of hardware/software partitioning.
Sponsorship	Int. Assoc. Comput. Sci. Inf. Technol.
Starting Page	141
Ending Page	144
File Size	291823
Page Count	4
File Format	PDF
ISBN	9780769535043
DOI	10.1109/ICCEE.2008.93
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-20
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Evolutionary Algorithm Embedded computing Costs Hardware/Software Partitioning Embedded system Software algorithms Optimization methods Evolutionary computation Software systems Hardware Partitioning algorithms Embedded software
Content Type	Text
Resource Type	Article

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