资源不确定军事任务计划预测调度模型与算法

Method for modeling and solving military mission planning with uncertain resource availability

针对军事任务计划执行环境中普遍存在的资源不确定性,提出了基于资源缓冲区的军事任务计划预测调度算法。算法首先基于平台有效资源功能向量进行任务—平台分配,分配过程中通过调节平台有效资源功能向量,获得不同的平台资源缓冲区分配方案;然后基于NSGA-Ⅱ算法框架对军事任务计划进行多目标求解,进而获得问题的Pareto最优解集。文章通过仿真算例对算法的可行性和有效性进行验证,实验结果表明,该算法能够有效求解资源不确定军事任务计划问题。

According to the ubiquitous uncertainty of resource availability,a multi-objective military mission planning model with uncertain resource availability is proposed based on reasonable hypotheses.A proactive schedule method based on resource buffer was designed according to the special features and particularity of the model.In the method,the resource buffer was added into the project during the task-platform allocation in order to minimize the disadvantage of resource uncertainty;the multi-objective evolutionary algorithm NSGA-Ⅱ was adopted to calculate the Pareto Front of the problem.Finally,an example was illustrated to show the feasibility and practicability of the proposed model and method.