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Chaotic System Parameter Estimation with Improved Gravitational Search Algorithm
Preview AbstractChaotic system parameter estimation is a multidimensional parameter optimization problem and the key issue that must be resolved in chaotic system synchronization. This study presents an improved gravitational search algorithm(IGSA) that can be used to solve the parameter estimation problem of chaotic systems. The IGSA uses a mutation operation to avoid the local optimum effectively, and reinitializes the population with poor fitness value. The IGSA is applied to estimate the parameters of the Lorenz system. Estimation results show that the algorithm is effective and robust.