Planning Model of Air Defense Kill Webs Based on Genetic Algorithm

To tackle the challenge of optimizing kill web planning in air defense combat, this research presents a planning model of air defense kill webs based on a genetic algorithm. Initially, the improved ADC algorithm is used to evaluate the kill chains within the kill webs, factoring in crucial aspects such as equipment performance, the close time of the kill chain, and resource occupancy rates. Subsequently, these evaluated kill chains are integrated into the kill webs. To enhance computational efficiency, the genetic algorithm is refined and adapted, improve microhabitats and initial populations, ultimately facilitating the generation of optimized air defense kill webs. Finally, a simple scenario is constructed to verify the rationality of the model, and the output results align with expectations, providing theoretical support for the planning process of air defense combat kill webs.