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Artificial intelligence network load balancing using Ant Colony Optimisation
Artificial intelligence network load balancing using Ant Colony Optimisation
Abstract ::

Abstract :- Ants first evolved around 120 million years ago, take form in over 11,400 different species and are considered one of the most successful insects due to their highly organised colonies, sometimes consisting of millions of ants. One particular notability of ants is their ability to create "ant streets". Long, bi-directional lanes of single file pathways in which they navigate landscapes in order to reach a destination in optimal time. These ever-changing networks are made possible by the use of pheromones which guide them using a shortest path mechanism. This technique allows an adaptive routing system which is updated should a more optimal path be found or an obstruction placed across an existing pathway.