NDLI: Software-Hardware Partitioning Strategy Using Hybrid Genetic and Tabu Search

Content Provider	IEEE Xplore Digital Library
Author	Lanying Li Min Shi
Copyright Year	2008
Description	Author affiliation: Dept of Comput. Sci., Harbin Univ. of Sci. & Technol. Harbin P. R. China, Harbin (Lanying Li; Min Shi)
Abstract	One of the most crucial steps in the design of embedded systems is deciding which components of the system should be implemented in software and which ones in hardware. Inspired by genetic algorithm (GA) and tabu search (TS), this paper puts forward a hybrid strategy (GATS) to solve the software-hardware partitioning problem in embedded system. The main frame of GATS is provided by genetic algorithm and the tabu search is taken as the mutation operator. Here the tabu search is used for the solution space in the process of mutation. And the results show that GATS has multiple starting-points, strong mountain-climbing ability and memory function instead of inferior mountain-climbing ability of GA and the single starting-point feature of TS. The experimental results indicate that GATS is superior to the single GA and TS in terms of both required time and system cost, which testify the effectiveness of GATS and produce better portioning results.
Starting Page	83
Ending Page	86
File Size	327284
Page Count	4
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.488
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	mutation operator Genetic mutations Software algorithms Partitioning algorithms Genetic algorithms Computer science Constraint optimization genetic algorithm Embedded system embedded system Cost function Hardware tabu search Time factors software-hardware partitioning
Content Type	Text
Resource Type	Article

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