A novel approach on Cuckoo search algorithm using Gamma distribution

Abstract

Cuckoo search algorithm (CS) is one of the most efficient optimization techniques developed so far. Several attempts have been made in past in order to improve the efficiency of CSO algorithm. In this paper we have tried to exploit the fundamental step length distribution function of the CS algorithm in order to increase its efficiency. Cuckoo search is a metaheuristic optimization technique. In place of conventional Levy distribution, Gamma distribution has been used. We will represent the increased efficiency of the Gamma distribution aided CSO algorithm in the following paper.