Study of parameter variations in the cuckoo search algorithm and the influence in its behavior

Abstract

We describe in this paper the Cuckoo Search Algorithm via Lévy flights and present the study of parameters behavior in the algorithm. CS is a stochastic algorithm, inspired by the natural behavior of a family of birds called Cuckoos. The parameters considered in the study are: Pa (probability to be discovered by the host bird), α (is the step size), β (variable included in Lévy distribution). The experiments were performed with the Rosenbrock function. We will observe the behavior of Pa, α and β parameters according to the variation of their rank, the number of iterations and the effect they have on the optimal value.