基于改进粒子群优化的多目标装备保障任务规划方法

发布时间：2018-05-06 21:12

本文选题：装备保障 + 任务规划　；参考：《系统工程与电子技术》2017年03期

【摘要】：针对装备保障任务多目标规划过程中任务与资源匹配复杂、目标权重获取困难和非劣解过多等问题,建立了装备保障任务多目标规划的目标模型和约束模型,提出了一种基于改进粒子群优化的交互式多目标装备保障任务规划方法。通过离散化编码方式和任务优先排序,完成了任务与资源的匹配及任务时序的调整;通过建立目标权重调整模型,实现了根据评价结果调整目标权重的交互过程,解决了目标权重无法精确获取的问题;通过调整后的目标权重构造适应度函数获取一个相对最优解,从而避免了因过多非劣解而导致决策困难的问题。该方法能够较好地实现装备保障的精确化和高效化,在信息化条件下装备保障辅助决策及方案生成中具有重要的参考价值。
[Abstract]:In order to solve the problems of complex matching between task and resource, difficulty in obtaining target weight and too many non-inferior solutions in the process of multi-objective planning of equipment support task, the objective model and constraint model of multi-objective planning for equipment support task are established. An interactive multi-objective equipment support task planning method based on improved particle swarm optimization (PSO) is proposed. The matching of task and resource and the adjustment of task sequence are completed by discretization coding method and task priority, and the interactive process of adjusting target weight according to evaluation result is realized by establishing target weight adjustment model. The problem that the target weight can not be accurately obtained is solved, and a relative optimal solution is obtained by constructing the fitness function of the adjusted objective weight, thus avoiding the problem that the decision is difficult because of too many non-inferior solutions. This method can realize the precision and high efficiency of the equipment support, and has important reference value in the auxiliary decision and the scheme generation of the equipment support under the condition of information.
【作者单位】：海军工程大学电子工程学院;中国人民解放军92941部队95分队;
【基金】：湖北省自然科学基金(2014EKB013)资助课题
【分类号】：E27;TP18

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