Abstract
A chaotic system is a one of encryption technique used in wireless communication. The chaotic system is a nonlinear dynamic system, which provides a mechanism for signal design and generation to cover the transmitting information and data. The chaotic system is high security, fast and difficult to predict because of its parameters sensitive to initial conditions. Parameter estimation of chaotic systems is a big challenge and an active area of study. This paper is concerned with the parameter estimation of a chaotic system can be formulated as a multidimensional optimization problem. Optimization algorithms can be solving this problem because of its good computational performance and robustness. Fruit Fly Optimization Algorithm (FOA) is used to estimate the parameters of chaotic systems which belong to an optimization algorithm. Simulation results which applied on the Lorenz system show that the FOA can identify the parameters of the chaotic systems more accurately, more rapidly, and more stable.
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Darwish, S.M., Elmasry, A., Ibrahim, A.H. (2020). Parameter Estimation for Chaotic Systems Using the Fruit Fly Optimization Algorithm. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_9
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