Air Defense Mission Planning of Ship Formation based on Event Network and Monte Carlo Simulation

Modern ship formation air defense requires rapid organization of combat resources in the environment of multi-directional high-speed invasion of enemy targets, making full use of interception windows to defense efficiently. Aiming at the characteristics of complex resource combinations and the high requirement of dynamic optimization in this process, to implement global optimization decisions for the overall situation and evolution prediction of air defense, an air defense mission planning method for fleet formation based on an event network model is studied. By defining the type of each element-event in the event graph, the causal relationship between events is determined, the local probability is determined, and the real transition probability between two events is dynamically adjusted. Aiming at the lowest expected cost target, an automatic generation algorithm of air defense mission scheme based on decision event priority allocation and Monte Carlo simulation is designed. The method verification was carried out through the case. The two preferred regulatory algorithms: genetic algorithm and simulation annealing were compared. The results showed that the model proposed can clearly express the battlefield situation, have a global optimization ability for multiple targets, and be interpretable.