航母作战部署的舰载机出动架次优化研究  

Optimizing Sorties of Aircraft for a Carrier in Transit

作　　者：谢君[1] 郝翎钧 祝泽亚 XIE Jun;HAO Ling-jun;ZHU Ze-ya(School of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学兵器工程学院,武汉430033

出　　处：《火力与指挥控制》2020年第7期62-65,72,共5页Fire Control & Command Control

基　　金：国家“863”计划基金资助项目(1234567)。

摘　　要：针对航母作战部署中航母平台按时到达部署地限制和舰载机出动回收任务需求,建立了非线性整数规划模型,目标函数是舰载机出动架次总数,约束条件包括非线性的航母平台部署偏差约束和线性的舰载机出动约束;采用遗传算法求解这个具有复杂约束条件的舰载机出动架次优化模型;解算了一个航母作战部署的实例,结果表明模型和算法可行。To balance the conflicts of an aircraft’s need on launch and recovery versus an aircraft carrier’s restriction of on-time arrival to an assigned location,the problem of flight operations for an aircraft carrier in transit is investigated.Firstly,a nonlinear integer programming model is formulated.The programming maximizes the number of flights launched subjected to the nonlinear function of carrier’s deviation and linear functions of aircraft's sortie.Secondly,Genetic algorithm is utilized to work out flight sorties of carrier-borne aircraft in every cycle during a transit.At last,a case is presented to indicate that the model and algorithm are both effective.

关 键 词：运筹学 舰载机 出动架次 航母 部署偏差 遗传算法 

分 类 号：TJ83[兵器科学与技术—武器系统与运用工程] E925.671[军事—军事装备学]