在完成对模型的生成后，需要对网络拓扑结构进行持续演化，常规情况下，结合

After completing the generation of the model, it is necessary to continuously evolve the network topology. Under normal circumstances, the stability of the topology is evaluated by combining the Laplace matrix, and the optimal topology is located by means of a simulated annealing algorithm. In this process, the change trend of the topological structure property index is observed, and the change rule of the topological appearance is located on this basis.

After the generation of the model, it is necessary to continuously evolve the network topology. Under normal circumstances, the stability of the topology is evaluated in combination with the Laplace matrix, and the optimal topology is located by means of simulated annealing algorithm. In this process, observe the change trend of topological structure property index, and locate the change law of topological appearance

After the generation of the model, it is necessary to continuously evolve the network topology. Normally, the stability of the topology is evaluated by combining Laplace matrix, and the optimal topology is located by simulated annealing algorithm. In this process, observe the changing trend of topological structure property index, and then locate the changing rule of topological appearance.