Fuzzy dynamic parameters adaptation in the Cuckoo Search Algorithm using fuzzy logic

The proposed method in this paper describes the enhancement of the Cuckoo Search (CS) Algorithm via Lévy flights using a fuzzy system to dynamically adapt its parameters. The original CS method is compared with the proposed method called Fuzzy Cuckoo Search (FCS) on a set of benchmark mathematical functions. In this case we consider a fuzzy system to dynamically change parameters during the execution of the algorithm. Simulation results on a set of mathematical functions show that the FCS outperforms the traditional CS. In addition, we demonstrate through statistical tests that the proposed method is better than the original CS algorithm.