Abstract:

The air defense line intercept ability in the form of information entropy is introduced based on the queuing theory. An optimization model is established taking into account the defense ability of the air defense network, the influence of terrain conditions on air defense weapons to be deployed and the division of the defensive line, minimum distance of two air defense weapons is regarded as constraints. For the reason that SPEA2 is inefficient in large-dimensional multi-objective optimization, a group divided dimensional reduction algorithm is employed. For this algorithm, all the objective functions are divided into some groups, the sub non-dominated set of every function group is built separately, then the non-dominated set of all objective functions is obtained based on the sub non-dominated sets. Simulation results show that using this optimization model can deploy air defense weapons in a proper defensive line where the terrain condition is better, form a tight air defense network, and the performances of group divided dimensional reduction algorithm are better than other large-dimensional Multi-objective optimization.