Network-based structure optimization method of the anti-aircraft system

The anti-aircraft system plays an irreplaceable role in modern combat. An consists of various types functional entities interacting to destroy the hostile aircraft moving high speed. connecting structure combat it is great importance for supporting normal process system. In this paper, we explore optimizing strategy network by establishing extra communication channels between entities. Firstly, thought model (CNM) borrowed as a heterogeneous network. Secondly, optimization objectives are determined survivability and accuracy To specify these objectives, information chain constructed based on CNM. causal strength (CAST) logic influence (IN) introduced illustrate establishment chain. Thirdly, constraints discussed set three aspects: time, connection feasibility budget. time constraint (TCN) construct timing help detect consistency. Then, multi-objective designed. Finally, simulation conducted prove effectiveness proposed method. Non-dominated sorting genetic algorithm-II (NSGA2) used solve problem two other algorithms including non-dominated algorithm-III (NSGA3) Pareto evolutionary (SPEA2) employed comparisons. deciders builders can make improved reality.