DocumentCode
1668540
Title
Phone routing using the dynamic memory model
Author
Bendtsen, Claw N. ; Krink, Thiemo
Author_Institution
Dept. of Comput. Sci., EVALife, Aarhus, Denmark
Volume
1
fYear
2002
Firstpage
992
Lastpage
997
Abstract
In earlier studies a genetic algorithm (GA) extended with the dynamic memory model has shown remarkable performance on real-world-like problems. In this paper we experiment with routing in communication networks and show that the dynamic memory GA performs remarkable well compared to ant colony optimization algorithms that are specially designed for this problem
Keywords
genetic algorithms; telecommunication computing; telecommunication network routing; telephone networks; communication network routing; dynamic memory model; evolutionary algorithms; genetic algorithm; optimization; phone routing; Ant colony optimization; Circuits; Communication networks; Communication system control; Computer science; Control systems; Evolutionary computation; IP networks; Particle swarm optimization; Routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1007060
Filename
1007060
Link To Document