Swarm Intelligence (SI) refers to the collective behaviour of a group of creatures without a centralized unit control. This field was first established in 1989 in a robotic project . Systems built based on SI typically have independent intelligent agents that interact locally to achieve a goal as a team . Most of the algorithms in this field mimic swarm intelligence in nature. For instance, Ant Colony Optimization (ACO)  mimics swarm intelligence of ants in an ant colony using stigmergy, which is the communication between individuals in a swarm by modifying environment. It has been proved that ants can find the shortest path between multiple path to a food course from their nest by a depositing and marking the ground using pheromone.