Dual-layer planning method for task configuration in system-vs-system combat scenario
Aiming at the complexity of system-vs-system combat tasks,this paper presents a dual-layer plan-ning method for mission configuration in system-vs-system combat scenarios.First,according to the specific sce-nario of the system-vs-system combat,the work breakdown structure approach is used for the design of combat mission decomposition structure,and the Observation-Orientation-Decision-Action(OODA)loop theory is com-bined to refine the tasks and form the combat task list.Secondly,the time resource constraints of each meta-task are analyzed;a dual-layer planning model for combat mission configuration is constructed;the penalty function of combat mission duration is designed,and the solution is based on nested genetic algorithm.Finally,the feasibility and effectiveness of the proposed method are verified by the case study of anti-missile operations.The results show that the proposed method can effectively perform task allocation in complex combat environment,output op-timal resource allocation and task scheduling,and serve the operational requirements of multi-task coordination and complex resource constraints.