作战任务层次化分解方法

Operational Task Hierarchical Decomposition

根据作战任务规划对任务分解辅助决策的迫切需求,提出一种基于效用筛选的作战任务多方案分解和优选框架。针对任务描述通用性差等不足,基于5W理论对作战任务进行规范化描述,实现对各类作战任务的通用化定量描述;针对任务分解影响因素和约束条件的复杂性,从任务场景、领域知识两个方面建立任务分解模型,将任务分解转化为多约束运筹优化问题;针对传统任务分解方法单一、分解方案优选手段缺乏等问题,设计一种基于效用筛选的层次任务分解方法,实现多套分解方案生成和筛选优化。以具体作战任务为例,对该方法进行验证。仿真实验结果表明,层次任务分解方法能够对生成的多套方案进行优选,最优概率达到90%以上,满足实际作战辅助决策需求。

Operational task decomposition is a key step for the military operation planning in computer-aided decision-making.To this end,a multi-scheme task decomposition and selection framework is presented.A standard task description method is proposed to realize the quantitative operational task description based on 5W theory.A task decomposition model is established according to task scenario and domain knowledge,which formulates the task decomposition as a multi-constraint optimization problem and alleviates the problem complexity caused by various influential factors and constraints.A hierarchical task decomposition method is presented to generate the multiple solutions and further finalize an optimized solution,which overcomes the unavailability of sufficient task decomposition and optimization means.The proposed method is validated based on a specific battle task decomposition,and the simulated results demonstrate the effectiveness and practicability of the proposed method,achieving over 90%optimum rate.