DocumentCode :
2125100
Title :
A new genetic simulated annealing algorithm for hardware-software partitioning
Author :
Li, Lanying ; Song, Yanbo ; Gao, Ming
Author_Institution :
Department of Computer Science and Technology, Harbin University of Science and Technology, 150080, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
To solve the hardware/software partitioning problem in embedded system, this paper proposed a new genetic simulated annealing algorithm (NGSA) which based on analysis of genetic algorithms and simulated annealing algorithm the main advantages and disadvantages. The genetic algorithm integrates the simulated annealing idea; niche technology is introduced to maintain population diversity; and the Metropolis criterion with the formation of new groups to improve the quality of group. Experimental results show that the algorithm has strong climbing ability and global search capability, and the fitness value is significantly improved than genetic algorithm and simulated annealing algorithm.
Keywords :
Algorithm design and analysis; Genetics; Hardware; Partitioning algorithms; Simulated annealing; Software; Software algorithms; embedded system; genetic algorithm; hardware/software partitioning; niche technology; simulated annealing algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5690308
Filename :
5690308
Link To Document :
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