DocumentCode :
1705760
Title :
Genetic algorithm synthesis (GaS): a novel approach for the synthesis of LUT-based architectures
Author :
Abielmona, Rami ; Groza, Voicu
Author_Institution :
Sch. of Inf. & Technol. Eng., Ottawa Univ., Ont., Canada
fYear :
2003
fDate :
5/17/2003 12:00:00 AM
Firstpage :
50
Lastpage :
55
Abstract :
Genetic algorithm synthesis (GaS) is presented in this paper. GaS is based on a hardware implementation of a genetic algorithm (GA), aimed at evolving the logic circuit of a defined input function, while minimizing the total number of resources utilized on the underlying hardware platform. A GA bases its operation on society itself, attempting to initiate natural selection in computing systems (Holland, 1975). It has been found that GAs are very good search techniques, to be used when either the search is vast or the present deterministic techniques are too restrictive. The field of logic synthesis, as well as technology mapping onto a field programmable gate array (FPGA), contain both of the aforementioned obstacles, and thus a new method must be realized to overcome the obstacles.
Keywords :
field programmable gate arrays; genetic algorithms; reconfigurable architectures; table lookup; FPGA; LUT-based architecture; computing system; field programmable gate array; genetic algorithm synthesis; hardware implementation; logic circuit; logic synthesis; lookup table; natural selection; resource utilization minimization; technology mapping; Biological cells; Design methodology; Evolution (biology); Genetic algorithms; Hardware; Optical computing; Power engineering and energy; Random number generation; Uncertainty; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing Techniques in Instrumentation, Measurement and Related Applications, 2003. SCIMA 2003. IEEE International Workshop on
Print_ISBN :
0-7803-7711-7
Type :
conf
DOI :
10.1109/SCIMA.2003.1215930
Filename :
1215930
Link To Document :
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