International Journal of Advanced Research in Computer Engineering & Technology
Ant Colony Optimization is based on the capability of real ant colonies of finding the shortest path from nest to food source by depositing and following the trail of pheromone on the path. Pheromone is a chemical deposited on ground by the ants while walking and it affect their moving decisions based on the intensity. The main components for ACO optimization are: set of software agent (artificial ant), use of memory and strategies of collective and distributed learning. Many ACO algorithms were designed and implemented for TSP which was very successful in finding optimal tour. In MANET routing is a challenging issue because of dynamically changing network topology which needs to be addressed.