中国民航大学学报 ›› 2026, Vol. 44 ›› Issue (2): 54-59.

• 未来机场及智能装备 • 上一篇    下一篇

基于鲸鱼优化算法的机场航站楼港湾区平面布局优化设计

  

  1. 中国民航大学交通科学与工程学院,天津 300300
  • 收稿日期:2025-02-27 修回日期:2025-04-30 出版日期:2026-04-30 发布日期:2026-05-06
  • 作者简介:欧阳杰(1970— ),男,湖南耒阳人,教授,博士,研究方向为机场运行优化
  • 基金资助:
    国家自然科学基金民航联合研究基金项目(U2333204)

Optimization design of plane layout of airport terminal bay area based on whale optimization algorithm

  1. College of Transportation Science and Engineering, CAUC, Tianjin 300300, China
  • Received:2025-02-27 Revised:2025-04-30 Online:2026-04-30 Published:2026-05-06
  • Supported by:

摘要: 为优化机场航站楼港湾区平面布局设计,本文基于范数灰关联度分析筛选出关键影响因素,并结合布局规 则建立约束条件,构建以上层港湾区平面布局综合效能指数最优和下层港湾区运行时间最短为目标的双 层规划模型,并采用鲸鱼优化算法进行求解。以中国某机场航站楼港湾区进行实例验证,结果表明:该模型 得到的平面布局方案相比原始方案,上层港湾区平面布局综合效能指数提高了 26.8%,下层港湾区运行时间 减少了 13.1%,提升了机场的空侧运行效率,验证了该模型的有效性,可为后续机场航站楼港湾区的设计与 建设提供理论参考。

关键词: 航站楼港湾区, 平面布局, 双层规划, 鲸鱼优化算法

Abstract: In order to optimize the plane layout design of the airport terminal bay area, this paper identifies key influencing factors using the norm grey relational analysis and establishes constraints based on layout rules. A two-level programming model is constructed to maximize the comprehensive efficiency index of the upper bay area′s plane layout and minimize the lower bay area′s operation time, which is solved using the whale optimization algorithm. Taking an airport terminal bay area in China as an example, the results show that the proposed scheme improves the comprehensive efficiency index of the upper-level layout by 26.8% and reduces the operation time of the lower bay area by 13.1% compared with the original plan, thus improving the airside operation efficiency of the airport and verifying the effectiveness of the model. The proposed method can provide a theoretical reference for the subsequent design and construction of airport terminal bay area.

Key words: terminal bay area, plane layout, two-level planning, whale optimization algorithm

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