基于仿真优化的甲板作业站位选择指标策略研究  

Research on the Index Strategy of Deck Operation Station Selection Based on Simulation Optimization

作　　者：卞大鹏 王叶婷[2] 彭雅欣 汤皓泉[3] BIAN Dapeng;WANG Yeting;PENG Yaxin;TANG Haoquan(The Second Military Representative Office of the Naval Equipment Department in Wuhan,Wuhan 430064,China;School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China;China Ship Development and Design Center,Wuhan 430064,China)

机构地区：[1]海军装备部驻武汉地区第二军事代表室,湖北武汉430064 [2]华中科技大学人工智能与自动化学院,湖北武汉430074 [3]中国舰船研究设计中心,湖北武汉430064

出　　处：《电子科技》2023年第5期88-94,共7页Electronic Science and Technology

基　　金：军科委基础加强项目(2019-JCJQ-ZD-334-12)。

摘　　要：针对在甲板资源配置一定的条件下,资源分配策略影响航母作战效率的问题,对甲板作业站位选择策略展开了研究。从调运时间和排队时间两项特征参数的计算模型出发,提出了一种基于站位指标的动态选择策略。该策略可根据当前作业条件动态求解适合的站位选择方案,以甲板作业时长为优化目标,利用遗传算法对最佳的站位特征参数权重进行搜索求解。通过仿真实验,以甲板作业时长为评价指标将该策略与其他常见策略进行对比分析,结果表明在该问题背景下,站位指标策略优于其他几种站位选择策略,采用所提策略可获得更佳的舰载机甲板作业时长,提升舰载机出动架次率。Under certain conditions of deck resource allocation,resource allocation strategy affects the operational efficiency of aircraft carrier.This study proposes the deck station allocation problem.Starting from the calculation models of dispatching time and queuing time,a dynamic station allocation strategy based on station index is proposed.The strategy determines a suitable station allocation scheme dynamically according to the current operation conditions.Using genetic algorithm to search for the best weight of station parameters,where the objective is to minimize the deck operation duration.Through simulation experiments,the superiority of the proposed strategy is verified by comparing it with other common strategies in the evaluation index of deck operation duration.Using the proposed strategy can obtain better deck operation duration,and improve the sorties rate of the shipborne aircraft.

关 键 词：舰载机 站位选择 指标策略 遗传算法 甲板作业 仿真 架次率 作业时长 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] V271.492[自动化与计算机技术—控制科学与工程]