Research on Intelligent Identification Method Based on Hybrid Genetic Algorithm

摘要

The inverse problem of damping parameter identification was transformed into a nonlinear optimization problem. A method, which based on genetic algorithm, was presented to identify damping parameters in dynamical system. In order to improve the efficiency of calculating and in case of premature problems, this paper not just combined fire-fighting modeling algorithm and genetic algorithm, but also found a kind of hybrid genetic algorithm. The results of data calculating showed that the method, which was raised by this paper, proved to be very efficient for resolving the inverse problems of parameter identification and optimizing nonlinear problems, besides, it possessed the characteristic of good robustness and fine ability of global convergence.