Due to the good correlation between the physiological and pathological conditions of fruits and vegetables and their equivalent Cole impedance model parameters, an accurate and reliable technique for their identification is sought by many researchers since the introduction of the model in early 1940s
Biological inspired optimization algorithms for cole-impedance parameters identification
This paper introduces new meta-heuristic optimization algorithms for extracting the parameters of the Cole-impedance model
Parameter identification of fractional-order chaotic systems using different Meta-heuristic Optimization Algorithms
Fractional-order chaotic systems (FOCS) parameter identification is an essential issue in chaos control and synchronization process