Title :
Phone routing using the dynamic memory model
Author :
Bendtsen, Claw N. ; Krink, Thiemo
Author_Institution :
Dept. of Comput. Sci., EVALife, Aarhus, Denmark
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007060
