Comparison of the Effect of Parameter Adaptation in Bio-inspired CS Algorithm Using Type-2 Fuzzy Logic

Abstract

In the present paper, we will carry out the comparison of the effect that the parameter adjustment has on the Cuckoo Search algorithm via Levy Flight using type- 2 Fuzzy logic, the results of the comparison will be able to demonstrate through the benchmark functions that the algorithm with an adjustment that the tests are promising when selecting the ideal parameter to achieve the proper balance of exploration and exploitation. The variables that can be configured in the CS algorithm are Pa, Alpha, and Beta, so far, the Alpha algorithm has represented the best results to find the equilibrium in the algorithm, this parameter is related to the scale factor of the problem.