基于改进NSGA-II算法的航空器滑行路径规划研究

摘要：航空器滑行路径规划是一个复杂的多目标优化问题，需要考虑多个目标和约束条件。为了解决这个问题，本文提出了一种基于改进NSGA-II算法的航空器滑行路径规划方法。首先，将滑行路径规划问题转化为多目标优化问题，然后针对问题的特点，设计了适应性权重策略和局部搜索算子，将其集成到NSGA-II算法中。最后，通过仿真实验验证了该方法的有效性和优越性。实验结果表明，该方法可以有效地求解多目标航空器滑行路径规划问题，具有较高的求解效率和优化性能。

关键词：航空器滑行路径规划；多目标优化；NSGA-II算法；适应性权重策略；局部搜索算子

Abstract: Aircraft taxiway path planning is a complex multi-objective optimization problem that requires consideration of multiple objectives and constraints. In order to solve this problem, this paper proposes an aircraft taxiway path planning method based on an improved NSGA-II algorithm. Firstly, the taxiway path planning problem is transformed into a multi-objective optimization problem. Then, based on the characteristics of the problem, an adaptive weight strategy and a local search operator are designed and integrated into the NSGA-II algorithm. Finally, the effectiveness and superiority of the method are verified through simulation experiments. The experimental results show that the proposed method can effectively solve the multi-objective aircraft taxiway path planning problem with high efficiency and optimization performance.

Keywords: Aircraft taxiway path planning; Multi-objective optimization; NSGA-II algorithm; Adaptive weight strategy; Local search operator