Ant Colony Optimization (ACO)

Ant Colony Optimization (ACO) algorithm is one of the optimization algorithms that is inspired by the foraging behaviour of real ant colonies. When the ants searching the food, they initially explore the area randomly. Then, a chemical pheromone trail will be left on the ground to track their explored path. When they are choosing their way, they tend to choose the path that marked by strong concentration of pheromone. This behaviour is then exploited into artificial ant colony to search for the potential solutions to the discrete optimization problem, continuous optimization problem and to some important problem such as load balancing and routing problem. This algorithm implementation has been proven to become one of the most successful strands of swarm intelligence