Crew recovery time-space network model with various types of airplanes based on BP equation algorithm

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Crew recovery time-space network model with various types of airplanes based on BP equation algorithm

ZHANG Qing¹, MA Yongxiu¹, YANG Zhengquan¹, CHEN Zengqiang^1,2

（1. College of Science, CAUC, Tianjin 300300, China; 2. College of Computer and Control Engineering, Nankai University,Tianjin 300350, China）

Received:2017-01-10 Revised:2017-02-22 Online:2017-10-25 Published:2017-12-14

Abstract

Abstract: Aircrew scheduling recovery is an important part of airlines work. To abate the effect on flight operation planning from abnormal aircrew scheduling, various types of airplane crew recovery time-space network model is built up.Before the establishment, the objective constraint according to abnormal aircrew scheduling is analyzed.Meanwhile, the minimum of airlines operation aircrew recovery of multi-types of airplanes based on time-space network model and heuristic binary search algorithm on costs is the optimization goal. These models are applied to the actual operational data of some domestic airline to carry on the instance analysis. Minimum vertex cover and BP（Bethe-Peierls）equation algorithm are used to solve it. Results showed that the usage of minimum vertex cover and BP equation algorithm accelerate the aircrew scheduling recovery and increase the robustness of aircrew scheduling recovery. They adjust automatically when some factor changes. Whole-related structure is employed to help aircrew scheduling automatically adjust to urgent change of factors. This model is simple to operate and with strong systematicness to be used widely.

Key words: BP equation algorithm, minimum vertex cover, aircrew scheduling recovery, energy function, time-space network model

CLC Number:

TP272

ZHANG Qing, MA Yongxiu, YANG Zhengquan, CHEN Zengqiang. Crew recovery time-space network model with various types of airplanes based on BP equation algorithm[J]. .

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