Topological structure optimization algorithm of military communication network based on genetic algorithm

With the development of information technology and the transformation of war concepts, the traditional combat method centered on weapons and equipment platforms has gradually transformed into network-centric information operations, among which military communication networks are the basis of military command and control in information warfare. Firstly, this article analyzes the basic characteristics and formation mechanism of the military communication network model, and then analyzes the performance indicators of the communication network model from the perspective of information flow integrity, information timeliness, and network anti-destructive ability. Secondly, this article obtains the optimization goal of the military communication network. And starting from the network topology, an innovative genetic algorithm is designed to adapt to the network model. Finally, this paper compares the optimization effects of genetic algorithm and other heuristic algorithms through a series of simulation experiments. The experiment proves that the improved genetic algorithm performs best in the optimization effect. This method provides theoretical guidance for the optimization of the topological structure of military communication networks.