Research On The Layout Method Of Aircrafts On Carrier Flight Deck

As the main combat weapon of aircraft carrier,the carrier-based aircraft sortie rate is the core index to measure the combat effectiveness of aircraft carrier.As the number of the carrier-based aircrafts determines the upper limit of the sortie rate,the launch efficiency of the carrier-based aircraft determines the final actual achievable sortie rate,both of which are closely related to the layout scheme.Therefore,it is of great significance to study how to generate a layout scheme with maximizing numbers of aircraft and launch efficiency of aircraft under the condition of satisfying the layout constraints.The research content and results of this thesis are as follows:The mathematical model of layout problem are established.A method based on twodimensional layout and constrained aggregation genetic algorithm is proposed.The twodimensional layout method is used to determine the initial layout scheme.Constrained aggregation genetic algorithm is used to optimize the angles of aircrafts by taking the inverse of the average length of the launch path as the fitness function,thus improving the launch efficiency of the aircraft.In the solution procedure,in order to improve the quality of the solution,the constraint aggregation function is used to transform multiple constraints into a single constraint,and the fitness function is used to jointly evaluate the merits of individuals.The simulation results show that the two-dimensional layout algorithm can be used to generate the initial layout scheme satisfying the layout constraints,and the constrained aggregation genetic algorithm can be used to optimize the angle of the carrierbased aircraft in the initial layout scheme,reducing the average length of the departure path by 2.06%.The mathematical model of the mixed layout problem of multiple type carrier-based aircraft is established.A mixed layout method based on multiple policy selection genetic algorithm and reinforcement learning is proposed.The multiple strategy selection genetic algorithm takes the numbers of aircraft as the fitness function value,can be used to optimize the type and numbers of aircraft layout in each area.In order to improve the diversity of population,the population is divided into three subpopulations: breeding population,reserved population and optimal population in the process of population iteration.According to the variety of population diversity,the reinforcement learning algorithm is used to optimize the proportion of each subpopulation to keep the population diversity in an appropriate range.The simulation results show that this method can be used to generate a mixed layout scheme of multiple carrier-based aircraft satisfying the layout constraints;compared with the standard genetic algorithm,the efficiency of this method for the layout scheme is improved by 32.8%.