Abstract—This paper presents a routing algorithm for computer network using mobile agents (Ant algorithm) and genetic algorithm. Ant algorithm is a class of Swarm Intelligence (SI) algorithms. SI is the local interaction of many simple agents to achieve a global goal. SI is based on social insect metaphor for solving different types of problems. Ant algorithm uses mobile agents called ants to explore network. Ants help in finding paths between two nodes in the network. Paths generated by ants act as input to Genetic Algorithm (GA). GA finds the set of suboptimal paths between nodes with the objective of minimum cost. This hybrid algorithm exhibits better performance when compared to basic ant algorithm.

Index Terms—Mobile agents, Routing, Genetic algorithm.

F. A. Cauvery N. K. is working as Assistant Professor in Department of Computer and Science & Engineering, R V College of Engineering, Bangalore. India.
S. B. K. V. Viswanatha is working as Professor in Department of Computer Science & Engineering, R V College of Engineering, Bangalore.India.

Cite: F. A. Cauvery N. K. and S. B. K. V. Viswanatha, "Routing Algorithm using mobile agents and Genetic Algorithm," International Journal of Computer and Electrical Engineering vol. 1, no. 3, pp. 293-296, 2009.