Optimization Method for Coordination Deployment of Air Defense System Based on Improved Genetic Algorithm

Aiming at the problem of coordinated deployment of various types of weapon systems for anti-UAV air defense in many important places, in the case of known enemy UAV attack directions and the defense capabilities of our multiple air defense systems, a suitable model is established and carried out Optimized solution. The target threat assessment function is established based on the performance, characteristics and geographic information of the deployment area of multiple weapon systems, and the anti-UAV is given based on comprehensive consideration of the defense effects, performance differences and total cost of multiple air defense systems. The air defense deployment effect evaluation model has designed an improved genetic algorithm using multi-layer dynamic coding, and through the adjustment and optimization simulation of the crossover and mutation parameters in the genetic algorithm, the optimal deployment plan is obtained. The simulation results show that the designed multi-layer dynamic genetic algorithm can effectively solve the multi-objective hybrid air defense deployment optimization problem.