Weapon Target Assignment Method with Grouping Constraints for Interception Based on Artificial Bee Colony Algorithm

This paper presents a weapon-target assignment (WTA) method for multi-to-multi interception with grouping constraints based on penalty function method. Firstly, in order to evaluate the combat performance from the interception efficiency and the required energy, the interception probability function are constructed of the heading error, the time-to-go for moving targets and the line-of-sight rate. Secondly, to ensure that each target is allocated with sufficient interception resources, and meanwhile to achieve the effective interception for multiple missiles against multiple targets, an adaptive grouping strategy is presented. Then, based on the artificial bee colony algorithm, the steps for solving WTA problem with grouping constraints are given. Finally, the proposed WTA method is verified with numerical simulations. Results indicate that the proposed WTA methods can realize the optimal allocation scheme which satisfying adaptive grouping constraints.