Research on Optimization Algorithm of Air Defense Force Operation Method Based on Multi-Combat Environment

In order to adapt to the complex battlefield environment and various types of weapon systems in modern war, we built a detailed air defense simulation scenario and transformed it into mathematical and programming models. By using intelligent solutions, we have successfully formulated the optimal strategy of defense resource allocation under a variety of constraints. Using multi-level nested genetic algorithm, we efficiently optimize the spatial coverage problem of monitoring and intercepting resources under specific conditions. The research shows that with the help of the intelligent optimization algorithm, we can design the optimal scheme for the typical air defense operation configuration in a short time. This optimized deployment strategy allows for broader geographical coverage than the traditional experience-based approach.