基于改进樽海鞘算法的舰载机舰面保障作业流程优化方法OA北大核心CSTPCD

[Objective]In order to ensure the continuous high-sortie operation of carrier-based aircraft,it is of great significance to optimize the flight deck operation process.[Methods]Considering the complexity of carrier-based aircraft support operation scheduling,as well as the complexity of flight deck support equipment and its susceptibility to unknown factors,the establishment of a support operation scheduling optimization model and its optimization algorithm are studied.Taking Ford-class aircraft carrier of the US navy as an ex-ample,starting from the pit-stop servicing mode,the carrier-based aircraft support job scheduling problem is studied,and a scheduling model that can handle serial,parallel,and flexible constraints at the same time is es-tablished.Meanwhile,based on the analysis of the salp swarm algorithm(SSA)and genetic algorithm,a scheduling algorithm for the carrier-based aircraft support operation process is proposed which introduces the crossover and mutation operation of the genetic algorithm on the basis of the SSA.[Results]Verified through numerical examples,an approximate global optimal solution can be obtained which shortens the sup-port time by 16.8% compared with the genetic algorithm.[Conclusions]The proposed method improves the utilization rate of aircaft carrier's support resources to allow the rational allocation of them,enabling the carri-er-based aircraft to be dispatched efficiently and improving the combat readiness of the aircraft carrier.