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Abstract Ever since the internet became a must have in today's technological world people have been looking for faster and faster ways to connect one machine to another. Many eloquent techniques have been proposed for this problem, some that are highly effective in individual cases. However, when it comes to the internet as a whole and connecting the mass of people to their individual destinations, an efficient algorithm is more difficult to produce. One proposed technique is to use Artificial Intelligence at the global router level to help different computers use the most efficient route between each other. One direction that researchers have gone to pursue this is to study the behaviors of ants for their techniques to find the fastest path between two points. They also analyze their problem solving techniques when the path that they are following has been broken. Computer Scientists began researching the behavior of ants in the early 1990's to find new routing algorithms. The result of these studies called is Ant Colony Optimization (ACO) and in the case of well implemented ACO techniques, optimal performance is comparative to existing top-performing routing algorithms. [2] This research has yielded ways to minimize the number of nodes that are taken to get to the destination, techniques for quickly resolving an efficient path, and ways to avoid having loops within a routing scheme. |