Currently， the strategic competition among major powers is intensifying. Various operational concepts such as joint all domain concept （JADC）， mosaic warfare， and distributed defense， have brought new threats to the existing aerospace defense system. Against the background of strategic competition among major powers， the characteristics of modern aerospace defense systems are analyzed， such as completeness of operation elements， openness of architecture， antagonism of systems， and convergence of capabilities. The challenges of intelligent development in the aerospace defense system are studied， and the key points of intelligent development of aerospace defense systems are given. In addition， a development vision for an intelligent aerospace defense system featuring agile operation， robust antagonism， and efficient management and control is presented， which provides a new idea for the modernization construction of aerospace defense systems.

Aiming at the complex battlefield situation and diversified weapons and equipments in the modern battlefield， a typical air defense scene model is constructed. Mathematical model and the program， and the pre-optimization design scheme of the defense resources deployment under multiple constraints are obtained by using intelligent solution algorithm. Optimization design and solution are carried out in typical scenarios by using the nested genetic algorithm for the coverage issues of the detecting perceptual resources, and the intercepting and striking resources. The results show that the nested optimization algorithm can optimize the deployment of operational elements of air defense in typical scenes in a short time. Compared with traditional experience-based methods， the resource deployment scheme given by the optimization design has a higher value of space coverage ratio.