Hybrid step size based cuckoo search

Cuckoo Search is a metaheuristic optimization method which uses obligate brood parasitic conduct of cuckoos. Successive moves (steps) of a cuckoo are basically drawn from a process which uses biased random walk and follows power law step-length distribution with a heavy tail. Therefore, quick convergence and precision cannot be assured in most of the cases. To resolve the convergence and accuracy problem this paper proposes a novel cuckoo search method which uses Lévy flight and Gauss distribution in alternate iteration along with variable P
_a
and a. The experimental outcomes validate that the proposed method outperforms the existing methods.