An effective hybrid quantum-inspired evolutionary algorithm for parameter estimation of chaotic systems

作者：Wang Ling^*; Li Ling po

来源：Expert Systems with Applications, 2010, 37(2): 1279-1285.

DOI：10.1016/j.eswa.2009.06.013

• Parameter estimation
• Quantum-inspired evolutionary algorithm
• Differential evolution
• Hybrid algorithm
• Chaotic system

Parameter estimation of chaotic systems is an important issue and has attracted increasing interest from a variety of research fields. Recently, quantum-inspired evolutionary algorithms have been proposed and applied to some optimization problems. However, to the best Of Our knowledge, there is no published research work oil quantum-inspired evolutionary algorithm (QEA) for estimating parameters of chaotic systems In this paper, ail effective hybrid quantum-inspired evolutionary algorithm with differential evolution (HQEDE) is proposed and applied to estimate the parameters of the Lorenz system. Numerical simulation and comparisons with other methods demonstrate the effectiveness and robustness of the proposed algorithm In addition.

• 出版日期2010-3
• 单位清华大学