基于改进NSGA-Ⅱ的飞机定检任务调度工期鲁棒性多目标优化OA

This paper investigates the aircraft maintenance task scheduling problem,integrating labor costs and un-certainty costs into a unified optimization framework.A multi-objective optimization method of maintenance task sched-uling duration robustness based on NSGA-Ⅱ-Adaptive is proposed.The proposed method employs a novel approach combining critical path weights with buffer attenuation effects to define robustness values,and enhances the crossover and mutation processes of NSGA-Ⅱ through adaptive methods.The algorithm was tested on benchmark datasets of various scales and compared with NSGA-Ⅱs,NSGA-Ⅱ-LSA,and the standard NSGA-Ⅱ.Experimental results demon-strate that the proposed algorithm outperforms the counterparts in four performance metrics:convergence speed,number of non-dominated solutions,spacing metric,and coverage metric.Further validation through a real-world air-craft maintenance case study reveals that the algorithm reduces comprehensive deviations by 63%,77.6%,and 77.9%compared to NSGA-Ⅱs,NSGA-Ⅱ-LSA,and NSGA-Ⅱ respectively.These findings confirm the proposed optimi-zation method's practical applicability and effectiveness in addressing real-world maintenance scheduling challenges.