To improve the ability of scientifically assessing the sector control complexity,a clustering algorithm of sector con-trol complexity based on the coyote optimization algorithm(COA)is proposed in this paper.Firstly,a per-dimen-sion mutation improvement strategy is introduced to propose the improved coyote optimization clustering algorithm(ICOCA),which can solve the problem of being easily trapped in local optimal solutions.Secondly,taking the re-gional control sectors in the Northwest China as the research object,the ICOCA is applied to conduct cluster analy-sis for the index of sector control complexity.Finally,the results of sector clustering are simulated and verified,which can prove the effectiveness and reliability of the proposed algorithm in the classification of sector control complexity,thus it can provide effective data decisions for subsequent airspace management.
关键词
空中交通管理/管制复杂性/聚类分析/改进郊狼优化聚类算法(ICOCA)
Key words
air traffic management/control complexity/cluster analysis/improved coyote optimization clustering algo-rithm(ICOCA)
维普
万方数据