Evaluation of Cuckoo Search Usage for Model Parameters Estimation

Cuckoo Search is gaining a lot of attention as a new soft computing technique inspired by nature,in this research the application of Cuckoo Search for solving the problem of estimating the parameters of a nonlinear model is investigated from both aspects of efficiency and robustness. Using a case study of estimation of parameters of a nonlinear model for the cutting tool temperature in an industrial metal cutting system, Cuckoo search was proved to be efficient in comparison to other approaches like genetic algorithms and particle swarm optimization. The paper also investigates the sensitivity of the Cuckoo Search performance to the variation of its tuning parameters, results showed the high efficiency and robustness of Cuckoo Search when applied to the problem of parameter estimation of a nonlinear model.