DocumentCode :
3268924
Title :
Architecture of virus evolutionary genetic algorithm for car navigation system
Author :
Yoshikawa, Masaya ; Terai, Hidekazu
Author_Institution :
Meijo Univ., Nagoya
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
915
Lastpage :
918
Abstract :
This route selection is an important problem for a car navigation system. In general car navigation system, the Dijkstra algorithm (DA) is used as route selection algorithm. From the viewpoint of practical convenience of the driver, we assume a route selection model that a driver must visit at shops (for example, restaurant) on the way to a destination, but it is not necessary for these shops to be specific shops. Several studies have dealt with conducted this problem using virus genetic algorithm (VGA). However, the VGA requires much calculation time, because VGA is multipoint search algorithm. In this paper, we propose an architecture for high-speed car navigation system based on VGA. Moreover, the route guidance function for sightseeing is newly added to the proposed architecture. The proposed architecture, implemented on the field-programmable gate array (FPGA), achieves high-speed processing. Measurement evaluating the proposed architecture demonstrated speeds 20 times greater than software processing.
Keywords :
field programmable gate arrays; genetic algorithms; logic design; microprocessor chips; road vehicles; traffic engineering computing; Dijkstra algorithm; car navigation system; field-programmable gate array; route guidance; route selection; system architecture; virus evolutionary genetic algorithm; Computer architecture; Evolution (biology); Field programmable gate arrays; Genetic algorithms; Genetic engineering; Hardware; Navigation; Roads; Software measurement; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
Conference_Location :
Montreal, Que.
ISSN :
1548-3746
Print_ISBN :
978-1-4244-1175-7
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2007.4488717
Filename :
4488717
Link To Document :
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