r Gholipour - Faculty of Electrical and Computer Engineering, Babol University of Technology, P.O. Box ۴۷۱۳۵-۴۸۴, Babol, Iran
a Khosravi - Faculty of Electrical and Computer Engineering, Babol University of Technology, P.O. Box ۴۷۱۳۵-۴۸۴, Babol, Iran
h mojallali - Electrical Enbineering Department, Faculty of Engineering, University of Guilan, P.O. Box ۳۷۵۶, Rasht, Iran

An important problem in nonlinear science is estimation of unknown parameters in Loranz chaotic system. Clearly, the parameter estimation for chaotic systems is a multidimensional continuousoptimization 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 anew 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

Loranz Chaotic System,Parameter Estimation,Bees Algorithm,Mean Squared Errors