An improved Cuckoo Search Algorithm for numerical optimization

This paper aims to introduce an algorithm by performing three modifications in the GCS algorithm in order to enhance the rate of convergence using globally best solutions. The Cuckoo Search Algorithm, CSA, which has developed recently, is an optimization method that uses random equations for search engine and therefore the rate of convergence is considerably low. The improved algorithm developed, Improved Cuckoo Search Algorithm (ICSA), was analyzed experimentally on a set of 15 benchmark functions. The results exhibit better performance of ICSA over CSA in solving complicated optimization situations during numerical integration.