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.
air traffic managementcontrol complexitycluster analysisimproved coyote optimization clustering algo-rithm(ICOCA)
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