A study on differential evolution-optimized ANFIS
ANFIS rely on gradient-based optimization methods, which are prone to local optima, slow convergence, and sensitivity to parameter initialization. To address these limitations, this study proposes a Differential Evolution–optimized ANFIS framework. The proposed approach integrates FCM clustering to initialize the fuzzy...