基于改进粒子群优化的多目标装备保障任务规划方法

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.%According to problems in equipment support task multi-object planning, such as complex of matching task and resource, difficulty of gaining object weight and large amount of non-inferior solutions, an object model and a constraint model of equipment support task planning are established.Then the method of interactive multi object equipment support task planning based on the improved particle swarm optimization are put forward.The task and resource matching and timing adjustment are accomplished by using the method of discrete encoding and task priority ordering.Through the establishment of the object weight adjustment model, the interaction process of adjusting the object weight according to the evaluation results is realized, and the problem that the object weight can not be obtained accurately is solved.A relative optimal solution is obtained by constructing the fitness function with the object weight, so that the difficult of decision due to a lot of non-inferior solutions is avoid.This method can better achieve the accuracy and efficiency of equipment support, and has important reference value in the auxiliary decision making of equipment support and the generation of the plan under the condition of information.