DocumentCode :
396645
Title :
A GA-based routing method with an upper bound constraint
Author :
Inagaki, Jun ; Haseyama, Miki ; Kitajima, Hideo
Author_Institution :
Dept. of Inf. Sci., Hokkaido Tokai Univ., Sapporo, Japan
Volume :
2
fYear :
2003
fDate :
25-28 May 2003
Abstract :
This paper presents a method of searching for the shortest route via the most designated points among the routes whose lengths are less than the upper bound and its effectiveness is verified by applying the algorithm to map data. The proposed algorithm uses a fitness function which includes weight parameters based on the building block hypothesis. By using this function, the optimum is efficiently obtained. This kind of routing is difficult in the case of using existing methods such as Dijkstra´s method. Also, the proposed method is more useful.
Keywords :
genetic algorithms; network routing; search problems; Dijkstra method; GA-based routing method; building block hypothesis; fitness function weight parameters; map data route search; route designated points; route length upper bound; shortest route search; upper bound constraint; Algorithm design and analysis; Biological cells; Cost function; Data engineering; Design engineering; Genetic algorithms; Information science; Navigation; Routing; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
Type :
conf
DOI :
10.1109/ISCAS.2003.1206016
Filename :
1206016
Link To Document :
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