Modeling and Optimization on Antiaircraft Weapon-target Assignment at Multiple Interception Opportunity.

In antiaircraft weapon-target assignment, the weapon resources could be wasted if all weapons are fully assigned at a time. In view of this situation, a weapon-target assignment model of multiple interception opportunity is proposed. The model is used to screen the weapon groups for multiple interception based on flying time of target approaching to a weapon unit, and the weapon units in the weapon group intercept the target according to the time order. The model not only optimizes the target damage probability, but also considers the consumption of weapon resources. Based on the model, a mixed chaos and discrete particle swarm optimization algorithm is presented to solve the weapon-target assignment problem. The proposed algorithm improves the seeking ability for the global optimal solution so that the local extremum is avoided. Simulation results show the rationality of the weapon-target assignment model and the effectiveness of the proposed mixed optimization algorithm, which is a new thought for antiaircraft weapon-target assignment. [ABSTRACT FROM AUTHOR]