Research on Optimization Method of Shipborne Aircraft Surface Support Operation Process Based on Improved Salp Algorithm

In order to ensure the operation efficiency of the carrier aircraft to continuously and efficiently dispatch, it is of great significance to optimize the operation flow of the carrier aircraft surface support. Considering the complexity of carrier aircraft support operation scheduling and the complexity of ship surface support equipment susceptible to unknown factors, the establishment of ship surface support operation flow scheduling optimization model and its optimization algorithm are studied. Taking Ford-class aircraft carrier of US army as an example, starting from the one-stop support mode of carrier aircraft, the support job scheduling problem of carrier aircraft is studied, and the support job scheduling model which can handle serial, parallel and flexible constraints at the same time is established. Meanwhile, based on the analysis of Salpa algorithm and genetic algorithm, a scheduling algorithm for carrierborne aircraft support operation flow is proposed, which introduces crossover and mutation operation of genetic algorithm on the basis of salpa algorithm. Verified through numerical examples, the approximate global optimal solution can be obtained, and the support time is shortened by 16.8% compared with genetic algorithm. It improves the utilization rate of resources, so as to rationally allocate the support resources of the aircraft carrier, so that the carrier-borne aircraft can be dispatched efficiently and improve the combat capability of the aircraft carrier.