Optimal reduction of models using a hybrid searching strategy

A hybrid searching strategy is applied to optimal reduction of models in this paper, and effective approaches are also proposed to deal with stability problems and constraint that are often encountered in model reduction. Numerical simulations based on benchmarks demonstrate the effectiveness of the hybrid strategy, and the results obtained are better than that of literature.