基于航班环的机组排班优化

赵晋芳 , 赵乔洋 , 周松 , 殷奥博

沈阳航空航天大学学报 ›› 2023, Vol. 40 ›› Issue (4) : 40 -48.

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沈阳航空航天大学学报 ›› 2023, Vol. 40 ›› Issue (4) : 40 -48. DOI: 10.3969/j.issn.2095-1248.2023.04.006
民用航空与安全工程

基于航班环的机组排班优化

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Crew scheduling optimization based on flight loop

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摘要

机组排班计划是航空公司运营管理计划的重要组成部分,因其NP-hard特性常面临组合爆炸而难以求解。针对这一问题,提出一种基于航班环的优化模型。在第一阶段考虑执勤时空衔接约束与执勤始发终到约束,构建了航班间的航班环模型;在第二阶段设计了结合改进的深度优先搜索算法(depth-first search,DFS)以及贪心算法完成对模型的求解。此外,提出了列生成算法下受限主问题模型(restricted master problem model,RMP),并运用该模型完成实验验证算例的求解。

Abstract

Crew scheduling is an important part of the operation management plan of an airline. Due to its NP-hard, it often faces combinational explosion and is difficult to be solved. Addressing the problem, a flight-loop-based optimization model was proposed. In phase one, considering the space-time connection constraint and the departure and arrival constraint for duty, a flight loop model between route segments was built; in phase two, the depth-first search (DFS) algorithm and greedy algorithm were incorporated to accomplish the solution of the model. In addition, a restricted master problem (RMP) model was proposed under the column generation algorithm, which was then used to solve the experimental validation examples.

关键词

交通运输规划与管理 / 机组排班优化 / 航班环 / 匿名指派法 / 深度优先搜索 / 受限主问题模型 / 贪心算法

Key words

transportation planning and management / crew scheduling optimization / flight loop / anonymous assignment method / depth-first search / restricted master problem model / greedy algorithm

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赵晋芳, 赵乔洋, 周松, 殷奥博 基于航班环的机组排班优化[J]. 沈阳航空航天大学学报, 2023, 40(4): 40-48 DOI:10.3969/j.issn.2095-1248.2023.04.006

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基金资助

国家自然科学基金(52105157)

辽宁省青年科技人才“育苗”项目(JYT2020122)

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