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基于改进粒子群算法的军航多机场终端区空域进离场点规划方法

陈炜 余付平 沈堤 彭娅婷

空军工程大学学报2026,Vol.27Issue(2):8-18,11.
空军工程大学学报2026,Vol.27Issue(2):8-18,11.DOI:10.3969/j.issn.2097-1915.2026.02.002

基于改进粒子群算法的军航多机场终端区空域进离场点规划方法

A Method of Planning Arrival/Departure Fixesin Military Multi-Airport Terminal Airspace Based on Improved Particle Swarm Optimization

陈炜 1余付平 1沈堤 1彭娅婷1

作者信息

  • 1. 空军工程大学空管领航学院,西安,710051
  • 折叠

摘要

Abstract

Aiming at the problem of insufficient dynamic adaptability of existing methods to the terminal airspace of multiple military airports,through a comparison of opertational differences between military and civil aviation,this paper proposes redundancy design and dynamic adjustment mechanisms to constitute a multi-objective optimization model with dual goals,i.e.traffic flow balancing and minimization of total flight path length through making a comparison between military and civil aviation operations.On the basis of the traditional Particle SwarmOptimization(PSO)algorithm,this paper designs an improved Multi-Ob-jective Particle Swarm Optimization algorithm(MOPSO)by integrating the local optimization mechanism of Simulated Annealing(SA),the non-dominated sorting strategy of NSGA-Ⅱ,and initialization using Lo-gistic chaotic mapping.Furthermore,the entropy weight-TOPSIS method is employed to conduct a com-prehensive evaluation and selection of the solution set,ultimately determining the optimal arrival and de-parture fixes planning scheme.The results show that compared with the conventional Multi-Objective Par-ticle Swarm Optimization(MOPSO)algorithm,this proposed improved algorithm achieves an average im-provement of 23%approximatelyin the Hypervolume metric,and the Inverted Generational Distance met-ric and the Spacing metric decrease by approximately 45%and 39%respectively.This method can effective-ly balance the contradiction between traffic balance and flight path optimization,providing a scientific basis for the efficient planning of military aviation terminal airspace in multi-airport areas.

关键词

终端区/进离场点/多目标粒子群算法/熵权-逼近理想解法

Key words

terminal airspace/arrival/departure fixes/multi-objective particle swarm optimization algo-rithm/entropy-weighted TOPSIS method

分类

航空航天

引用本文复制引用

陈炜,余付平,沈堤,彭娅婷..基于改进粒子群算法的军航多机场终端区空域进离场点规划方法[J].空军工程大学学报,2026,27(2):8-18,11.

基金项目

国家社会科学基金(22BGL319) (22BGL319)

空军工程大学学报

2097-1915

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