| 引用本文: | 刘珏,王能建,罗旭,等.采用改进遗传算法的舰载机保障调度方法.[J].国防科技大学学报,2020,42(2):194-205.[点击复制] |
| LIU Jue,WANG Nengjian,LUO Xu,et al.Deck operation scheduling method of carrier-based aircraft based on improved genetic algorithm[J].Journal of National University of Defense Technology,2020,42(2):194-205[点击复制] |
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| 采用改进遗传算法的舰载机保障调度方法 |
| 刘珏1,王能建1,罗旭2,孟祥雷1 |
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(1. 哈尔滨工程大学 机电工程学院, 黑龙江 哈尔滨 150001;2. 国防科技大学 装备综合保障技术重点实验室, 湖南 长沙 410073)
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| 摘要: |
| 舰载机保障作业过程受到多种资源约束,同时可能存在突发事件的干扰。针对此特点,分析并制定干扰情况下的模型修正策略。在遗传算法中引入禁忌搜索算子改进传统遗传算法的变异操作,并通过具体实例进行仿真验证,其结果证明改进后的遗传算法在优化含干扰事件的多机保障问题时效率更高,并通过甘特图直观地反映重调度方案,为真实情况下有效处理舰载机保障过程中的干扰事件奠定理论基础。 |
| 关键词: 保障作业 舰载机 遗传算法 重调度 |
| DOI：10.11887/j.cn.202002026 |
| 投稿日期：2018-10-22 |
| 基金项目:国家部委基金资助项目(614200301030217)；国防基础科研计划资助项目(JCKY2016206A001) |
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| Deck operation scheduling method of carrier-based aircraft based on improved genetic algorithm |
| LIU Jue1, WANG Nengjian1, LUO Xu2, MENG Xianglei1 |
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(1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China;2. Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| The support operation process of ship-borne aircraft is constrained by multiple resources, and the interference of emergency may occur at the same time. In view of this characteristic, the amendment strategy of model under the interference condition was analyzed and worked out. The Tabu search operator was introduced into the genetic algorithm to improve the mutation operation of the traditional process. And the simulation results show that the improved genetic algorithm is more efficient than the traditional genetic algorithm in optimizing the multi-carrier aircraft support problem with interference events. The rescheduling scheme is reflected intuitively by Gantt chart. As a result, this method lays a theoretical foundation for effectively dealing with the interference events in the process of ship-borne aircraft support in the real situation. |
| Keywords: deck operation carrier-based aircraft genetic algorithm rescheduling |
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