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计算机系统应用:2020,29(9):184-190
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基于物理规划的航空保障多目标优化模型
(1.海军参谋部办公室, 北京 100071;2.海军航空大学 青岛校区, 青岛 266041)
Multi-Objective Optimization Model of Aviation Equipment Support Based on Physical Programming Algorithm
(1.Office of Naval Staff, Beijing 100071, China;2.Qingdao Campus, Naval Aeronautical University, Qingdao 266041, China)
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投稿时间:2019-12-19    修订日期:2020-01-14
中文摘要: 根据作战需求确定优化权衡目标,以使用保障需求和技术可行性为约束条件,以保障能力指标集合,以备件储备量的组合为决策变量,建立多个单目标优化模型和多目标优化模型,提出了基于物理规划的航空保障能力多目标优化方法,结合粒子群算法得到了满足设计者偏好的最佳航材备件方案.设计了航空保障能力系数的满意等级,构造了各优化目标的偏好函数和综合偏好函数,使整个设计过程更加灵活地反映决策者偏好,减轻大规模多目标设计问题的计算负担,使军用机群的保障能力更适合实际作战要求,同时通过对比单目标优化的结果,验证了算法的有效性.
Abstract:Together with the particle swarm optimization algorithm, a physical programming-based multi-objective optimization model is developed to seek the optimal strategy for spare parts arrangement. The levels of satisfaction and the preference functions as well as the aggregate objective function for the supportability are designed which can reflect the preference of decision makers. With the proposed optimization method, the computational burden in large-scale multi-objective design problems can be greatly reduced. Meanwhile, the results from the proposed method are compared with that of single-objective optimization, demonstrating the effectiveness of the proposed model.
文章编号:7542     中图分类号:    文献标志码:
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史海庆,杨航,赵冬梅.基于物理规划的航空保障多目标优化模型.计算机系统应用,2020,29(9):184-190
SHI Hai-Qing,YANG Hang,ZHAO Dong-Mei.Multi-Objective Optimization Model of Aviation Equipment Support Based on Physical Programming Algorithm.COMPUTER SYSTEMS APPLICATIONS,2020,29(9):184-190

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