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兵工学报 ›› 2025, Vol. 46 ›› Issue (5): 240461-.doi: 10.12382/bgxb.2024.0461

• • 上一篇    

舰载机任务分配与弹药配置协同优化

郭放1, 韩维1, 刘洁2, 苏析超3,*(), 潘子双1   

  1. 1 海军航空大学 航空基础学院, 山东 烟台 264001
    2 军事科学院, 北京 100091
    3 海军航空大学 航空作战勤务学院, 山东 烟台 264001
  • 收稿日期:2024-06-17 上线日期:2025-05-07
  • 通讯作者:
    * 邮箱:
  • 基金资助:
    国家自然科学基金项目(12102077)

Collaborative Optimization of Carrier-based Aircraft Task Assignment and Ammunition Configuration

GUO Fang1, HAN Wei1, LIU Jie2, SU Xichao3,*(), PAN Zishuang1   

  1. 1 Aeronautical Foundation College, Naval Aviation University, Yantai 264001, Shandong, China
    2 Academy of Military Sciences, Beijing 100091, China
    3 Aeronautical Operations College, Naval Aviation University, Yantai 264001, Shandong, China
  • Received:2024-06-17 Online:2025-05-07

摘要:

随着现代海战复杂性的增加,舰载机在复杂战场环境中的作用日益凸显。为提升舰载机的作战效能和资源利用效率,减轻指挥人员制定作战规划方案的负担,研究了舰载机任务分配与弹药配置协同优化问题。系统分析了协同决策过程中的关键要素,以最大化任务收益、最小化舰载机被击毁成本和弹药成本为优化目标,建立舰载机任务分配与弹药配置协同优化问题模型。结合模型特点,提出了一种基于适应度的自适应全局人工蜂群算法用于模型求解。仿真结果证明了新提出的模型和算法的有效性,能够显著提高舰载机任务收益,同时降低作战成本。研究成果可为舰载机作战方案的制定和完善提供理论参考和决策依据。

关键词: 舰载机, 任务分配, 弹药配置, 协同优化, 目标重要度评估, 人工蜂群算法

Abstract:

With the escalating complexity of modern naval warfare, the role of carrier-based aircraft in intricate battlefield environments has become increasingly prominent. The collaborative optimization of task assignment and ammunition configuration for carrier-based aircraft is studied to enhance the combat effectiveness and resource utilization efficiency of carrier-based aircraft and alleviate the burden on commanders in formulating the combat plans. The key elements in the collaborative decision-making process are systematically analyzed. Then, an integrated optimization model of carrier-based aircraft task assignment and ammunition configuration is established by taking the maximized mission benefit, minimized destruction cost of carrier-based aircraft and minimized ammunition cost as the optimization objectives. Furthermore, a fitness-based adaptive global artificial bee colony algorithm is developed by combining the characteristics of the model for model solving. The simulated results demonstrate the effectivenesses of the proposed model and algorithm, and that they can significantly improve the mission benefits of carrier-based aircraft while reducing the operational costs. The research results can provide theoretical reference and decision-making basis for the development and improvement of carrier-based aircraft combat plan.

Key words: carrier-based aircraft, task assignment, ammunition configuration, collaborative optimization, evaluation of target significance, artificial bee colony algorithm

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