Research on optimization model and algorithm of aircraft maintenance plan based on Improved Genetic algorithm

Abstract

Taking the cost minimization as the objective function, the optimization model of aircraft maintenance plan is established and solved by Genetic algorithm (GA). The feasibility of the model and algorithm is verified by the data of an airline. This paper analyzes the problem of maintenance planning in aviation maintenance production scheduling, carefully studies the process and constraints of aircraft maintenance planning, and establishes the optimization model of aircraft maintenance planning, which not only considers the constraints of aircraft maintenance resources, but also considers the impact of maintenance date on efficiency, and can quickly determine the start date of each aircraft maintenance. In order to solve the model, a discrete particle swarm optimization algorithm is established, which adopts the particle value and speed change mode suitable for the model. The experimental results of actual production scheduling using production data show that the established model and algorithm are feasible, can be applied to production practice, and can greatly improve the automation level of production scheduling. Based on the optimization problem in aircraft maintenance planning optimization design, an improved GA is proposed.