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