Stochastic resonance system optimization method based on improved artificial rabbit optimization algorithm

The invention provides a novel method for optimizing a stochastic resonance system by using an improved artificial rabbit optimization algorithm. The method comprises the following steps of: firstly, establishing a system model comprising input signals, secondary sampling, an improved artificial rabbit algorithm, a stochastic resonance system model, scale recovery and FFT (Fast Fourier Transform) spectrum analysis; thirdly, initializing a population through Circle chaotic mapping, introducing a fitness and distance coincidence strategy (FDB) and a Metropolis criterion of a simulated annealing algorithm, enhancing population diversity, expanding a search range, avoiding local optimum and keeping rapid convergence; and finally, through MATLAB simulation verification, the method can effectively explore a global optimal solution and realize rapid and accurate parameter optimization, so that the stochastic resonance system has a good resonance effect. 本发明提出了一种利用改进的人工兔优化算法来优化随机共振系统的新方法。该方法首先建立包含输入信号、二次采样、改进人工兔算法、随机