朱兴动, 赵洋, 范加利, 等. 基于分层优化策略的一站式保障资源性能指标联合优化方法[J]. 中国舰船研究, 2023, 18(5): 92–103. doi: 10.19693/j.issn.1673-3185.03011
引用本文: 朱兴动, 赵洋, 范加利, 等. 基于分层优化策略的一站式保障资源性能指标联合优化方法[J]. 中国舰船研究, 2023, 18(5): 92–103. doi: 10.19693/j.issn.1673-3185.03011
ZHU X D, ZHAO Y, FAN J L, et al. Joint optimization method of Pit-Stop support resource performance metrics based on layered optimization strategy[J]. Chinese Journal of Ship Research, 2023, 18(5): 92–103. doi: 10.19693/j.issn.1673-3185.03011
Citation: ZHU X D, ZHAO Y, FAN J L, et al. Joint optimization method of Pit-Stop support resource performance metrics based on layered optimization strategy[J]. Chinese Journal of Ship Research, 2023, 18(5): 92–103. doi: 10.19693/j.issn.1673-3185.03011

基于分层优化策略的一站式保障资源性能指标联合优化方法

Joint optimization method of Pit-Stop support resource performance metrics based on layered optimization strategy

  • 摘要:
      目的  为提高舰载机保障效率,开展一站式保障模式下航空保障资源性能指标的优化设计研究。
      方法  建立以最小化保障时间为目标的舰载机甲板作业调度模型,将航母舰面航空保障资源性能指标视为满足区间约束的自变量,构建双层优化模型;基于分层优化策略,采用哈里斯鹰优化算法求解性能指标问题,设计改进的引力搜索算法(GSA)求解甲板作业调度问题。
      结果  通过多种典型任务场景的算例仿真,得到了不同出动模式下的最优资源配置方案与保障作业调度方案,验证了求解算法的有效性。
      结论  利用所提出的方法可以有效求解一站式保障资源性能指标与保障作业调度的联合优化问题,为一站式保障资源的配置优化提供了一定的理论支撑。

     

    Abstract:
      Objectives  To improve the efficiency of naval aircraft support, the optimization design of aviation support resource performance indexes under pit-stop support mode is carried out.
      Method  A naval aircraft deck operation scheduling model is established with the objective of minimizing the support time, the carrier surface aviation support resource performance index is regarded as the independent variable satisfying the interval constraint, and a two-layer optimization model is constructed.
      Results  The optimal resource allocation scheme and support operation scheduling scheme under different sortie modes are obtained through the simulation of various typical mission scenarios, and the effectiveness of the solution algorithm is verified.
      Conclusion  The proposed method can effectively solve the joint optimization problem of pit-stop support resource performance index and support operation scheduling, providing theoretical support for the optimization of pit-stop support resource configuration.

     

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