1
Elecctrical Engineering, Noshirvani University of Technology, Babo
2
, babol university of technology
Abstract
An important problem in nonlinear science is the unknown parameters estimation in Loranz chaotic system. Clearly, the parameter estimation for chaotic systems is a multidimensional continuous optimization problem, where the optimization goal is to minimize mean squared errors (MSEs) between real and estimated responses for a number of given samples. The Bees algorithm (BA) is a new member of meta-heuristics. BA tries to model natural behavior of honey bees in food foraging. This paper focuses on using the BA to solve this problem. Simulation results demonstrate the merit, effectiveness and robustness of BA.
Khosravi, A., & Gholipour, R. (2013). Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm. International Journal of Engineering, 26(3), 257-262.
MLA
Alireza Khosravi; Reza Gholipour. "Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm". International Journal of Engineering, 26, 3, 2013, 257-262.
HARVARD
Khosravi, A., Gholipour, R. (2013). 'Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm', International Journal of Engineering, 26(3), pp. 257-262.
VANCOUVER
Khosravi, A., Gholipour, R. Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm. International Journal of Engineering, 2013; 26(3): 257-262.
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