多型地空导弹批量技术准备调度优化模型

针对多型地空导弹批量技术准备调度优化的问题,提出使用遗传算法模型进行优化.构建导弹批量技术准备调度优化模型,利用遗传算法对模型进行解算,通过对阵地准备2种型号导弹进行调度优化,得到5枚导弹技术准备的最短完工时间及各项工作的安排顺序.实例分析结果表明:该模型可根据人员和设备数量变化求出导弹准备的最短完工时间,为战时决策者判断批量导弹何时能够完成技术准备并展开分配调运提供依据.

Optimization Model for Multi-types Surface-to-airMissile Batch Technology Preparation Scheduling

Aiming at the problem of batch technology preparation scheduling optimization of multi-types surface-to-airmissiles, a genetic algorithm model optimization is proposed. The optimization model of missile batch technical preparationscheduling is constructed, and the genetic algorithm is used to solve the model. Through the scheduling optimization of 2types of missiles prepared against the ground, the shortest completion time of technical preparation of 5 missiles and thearrangement sequence of each work are obtained. The results of case analysis show that the model can calculate the shortestcompletion time of missile preparation according to the change of personnel and equipment quantity, which provides thebasis for decision-makers in wartime to judge when the batch of missiles can complete technical preparation and launchdistribution and transportation.