Vehicle equipment maintenance support tasks have problems such as low maintenance efficiency and unreasonable allocation of maintenance personnel. In order to further strengthen the theoretical research of vehicle equipment maintenance support, an optimization model of vehicle equipment maintenance personnel based on support task is proposed in this paper. Firstly, the maintenance workload model of vehicle equipment is constructed by analyzing the three task sources of vehicle equipment: scheduled maintenance, natural random failure, and combat damage. Then, considering the technical professional level, maintenance efficiency, and other factors of maintenance personnel, two optimization models of maintenance personnel are constructed. In view of the situation where there are enough human resources, the prediction model of the number of personnel with the minimum total number as the goal is constructed to achieve the purpose of saving human resources. Using MATLAB mixed integer nonlinear programming problem (MINP) toolbox to solve the prediction model of the number of personnel, in view of the shortage of maintenance personnel, a maintenance personnel allocation model aiming at minimizing maintenance time is constructed to maximize maintenance efficiency. In order to solve the model, the fruit fly optimization algorithm (FOA) is improved, and the group cooperation is used to update the fruit fly position. The new algorithm not only retains the essential advantages of the FOA but also solves the problem that the algorithm is easy to fall into local extreme value and improves the global optimization ability of the algorithm. Finally, two example simulations verify the effectiveness of the optimization method in this paper and provide a certain theoretical basis for maintenance personnel to optimize decision-making.

中文翻译：

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基于支持任务的车辆装备维修人员优化模型

车辆设备维护支持任务存在诸如维护效率低和维护人员分配​​不合理的问题。为了进一步加强车辆装备维修保障的理论研究，提出了基于保障任务的车辆装备维修人员优化模型。首先，通过分析车辆设备的三个任务来源，即定期维护，自然随机故障和战斗损坏，来构建车辆设备的维护工作量模型。然后，结合维修人员的技术专业水平，维修效率等因素，构建了维修人员的两个优化模型。鉴于人力资源充足的情况，建立以总数最小为目标的人员数量预测模型，以达到节省人力资源的目的。利用MATLAB混合整数非线性规划问题（MINP）工具箱求解人员数量的预测模型，鉴于维修人员的短缺，构建了以减少维修时间为目标的维修人员分配模型，以最大程度地提高维修效率。为了解决该模型，改进了果蝇优化算法（FOA），并通过分组协作更新了果蝇位置。新算法不仅保留了FOA的本质优点，而且解决了该算法容易陷入局部极值的问题，提高了算法的全局优化能力。最后，