A COMPARATIVE STUDY ON SWARM INTELLIGENCE ALGORITHMS

Swarm Intelligence algorithms are meta-heuristic and population-based stochastic optimization algorithms. These algorithms are influenced by an intelligent and collective behaviour of insects or animals such as ants, fireflies, dragonflies, wolves, cuckoo, hawks etc. The behaviour of these insects and animals offers information and strategy to win the hunts in their own way. Their behaviour of hunting uses an optimised approach i.e. they win over their prey by using least number of hunting steps. The algorithms are developed on the basis of their behaviour to solve the real-world problems. This research paper presents a comparative study of various swarm intelligence optimization algorithms.