| 引用本文: | 郭一鸣,曹军海,陈春良,等.战时装备维修保障力量抢修行动模型构建与求解.[J].国防科技大学学报,2023,45(4):170-181.[点击复制] |
| GUO Yiming,CAO Junhai,CHEN Chunliang,et al.Construction and solution of emergency repair action model of equipment maintenance support force in wartime[J].Journal of National University of Defense Technology,2023,45(4):170-181[点击复制] |
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| 战时装备维修保障力量抢修行动模型构建与求解 |
| 郭一鸣1,曹军海1,陈春良1,刘彦2,张闯1 |
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(1. 陆军装甲兵学院 装备保障与再制造系, 北京 100072;2. 军事科学院 系统工程研究院, 北京 100141)
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| 摘要: |
| 针对战时装备维修保障任务重、修理时间有限以及维修保障力量类型与待修装备损伤需求不匹配,难以实现战场精确保障的问题,进行了战时装备维修保障力量多目标行动控制研究。考虑修理时间窗、装备损伤状态、维修保障力量类型与维修保障能力变化以及非遍历性等复杂约束,构建了以装备重要度总和、修竣装备总和以及超出修理时间窗时间总和为目标的维修保障力量多目标抢修行动控制模型。对带精英策略的非支配排序遗传算法进行改进,结合变邻域搜索算法加强算法的局部搜索能力,设计了改进变邻域搜索和非支配排序遗传算法的混合算法实现模型求解,并通过示例验证了模型及算法的合理性和有效性。 |
| 关键词: 维修保障力量 行动控制 复杂约束 多目标 |
| DOI：10.11887/j.cn.202304017 |
| 投稿日期：2022-12-18 |
| 基金项目:国家部委基金资助项目(6140001030112) |
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| Construction and solution of emergency repair action model of equipment maintenance support force in wartime |
| GUO Yiming1, CAO Junhai1, CHEN Chunliang1, LIU Yan2, ZHANG Chuang1 |
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(1. Equipment Support and Remanufacturing Department, Army Academy of Armored Forces, Beijing 100072, China;2. System Engineering Research Institute, Academy of Military Sciences, Beijing 100141, China)
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| Abstract: |
| Aiming at the problems that the wartime equipment maintenance support task is heavy, the repair time is limited, and the type of maintenance support force does not match the damage demand of the equipment to be repaired, which makes it difficult to achieve accurate battlefield support, the multi-objective action control of wartime equipment maintenance support force was studied. Considering complex constraints such as repair time window, equipment damage state, types of maintenance support forces, changes of maintenance support capabilities and non-traversal, a multi-objective emergency repair action control model of maintenance support forces was established, which aims at the sum of equipment importance, the sum of repaired equipment and the sum of time beyond the repair time window. The NSGA-Ⅱ(non-dominated sorting genetic algorithm Ⅱ) with elite strategy is improved, and the VNS(variable neighborhood search) algorithm is combined to strengthen the local search ability of the algorithm. The improved VNSGA-Ⅱ(variable neighborhood search and non-dominated sorting genetic algorithm Ⅱ) hybrid algorithm is designed to solve the model, and the rationality and effectiveness of the model and algorithm are verified by examples. |
| Keywords: maintenance support force action control complex constraint multi-objective |
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