Title :
Reconfigurable network based on ant algorithms
Author :
Saad, E.M. ; El Adawy, M. ; Habashy, Shahird M.
Author_Institution :
Helwan Univ., Cairo, Egypt
Abstract :
The social inset colony metaphor has provided computer scientists with powerful new models with which problems can be attached by means of swarm intelligence. The focus of this paper is on reviewing the idea behind ant algorithm and its application to determine the shortest path between two nodes in a reconfigurable network. The ants move across the network between arbitrary pairs of nodes selecting their path at each intermediate node according to the distribution of simulated pheromones at each node. As they move they deposit simulated pheromones as function of their congestion encountered on their journey.
Keywords :
cooperative systems; evolutionary computation; reconfigurable architectures; ant algorithm; computer scientist; reconfigurable network; simulated pheromone; social insect colony metaphor; swarm intelligence; Ant colony optimization; Application software; Biological system modeling; Centralized control; Computational biology; Fluctuations; Insects; Negative feedback; Particle swarm optimization; Systems biology;
Conference_Titel :
Radio Science Conference, 2004. NRSC 2004. Proceedings of the Twenty-First National
Print_ISBN :
977-5031-77-X
DOI :
10.1109/NRSC.2004.1321844
