电光与控制, 2018, 25 (7): 19, 网络出版: 2021-01-20
改进遗传算法在舰载机着舰队列排序中的应用
Application of Improved Genetic Algorithm to Landing Sequencing of Carrier Aircrafts
摘要
在舰载机着舰过程中,着舰指挥官需要根据飞机的飞行状态和外部条件等因素对舰载机着舰进行实时的调度,确定安全高效的着舰次序。针对舰载机群着舰排序问题,不仅考虑多种因素对着舰排序的影响,而且考虑舰载机着舰失败对着舰排序的影响,提出以减少延迟时间和延误成本为目标的优化数学模型。针对传统遗传算法的不足,提出改进遗传算法,并利用改进遗传算法对模型进行求解。通过仿真实验发现优化后的着舰顺序能够有效地减少延迟时间和延误成本,从而提高甲板利用率。
Abstract
In the course of carrier aircrafts landingthe officer must arrange a safe and efficient landing sequence according to such uncertain factors as the flight states of the aircrafts and the external conditions.The paper mainly focuses on the carrier aircraft landing sequencing problem.Besides the influence of various factors on the landing sequencethe influence of failed landing is also taken into consideration.An optimal mathematical model taking the reducing of delay time and delay cost as its objective is built.Considering the deficiency of the traditional genetic algorithman improved genetic algorithm is proposed and used to solve the model.Simulation result shows thatthe optimized landing sequence can effectively reduce the delay time and delay costand thereby improve the utilization rate of the carrier deck.
周俊, 江驹, 余朝军, 肖东. 改进遗传算法在舰载机着舰队列排序中的应用[J]. 电光与控制, 2018, 25(7): 19. ZHOU Jun, JIANG Ju, YU Chaojun, XIAO Dong. Application of Improved Genetic Algorithm to Landing Sequencing of Carrier Aircrafts[J]. Electronics Optics & Control, 2018, 25(7): 19.