Dynamic Planning of Aircraft Sortie Generation Based on Multiobjective Optimization
Author(s) -
Xianglei Meng,
Nengjian Wang,
Jue Liu,
Qinhui Liu
Publication year - 2022
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2022/6180618
Subject(s) - runway , takeoff , takeoff and landing , scheduling (production processes) , reliability (semiconductor) , engineering , flight safety , computer science , aerospace engineering , automotive engineering , aeronautics , reliability engineering , power (physics) , operations management , physics , archaeology , quantum mechanics , history
The ability of ensuring the safety and reliability of combat aircraft in noncombat processes is a must for aircraft sortie generation. How to guarantee the operation safety and reliability of combat aircraft while ensuring operation efficiency in the air is a matter requiring further exploration and research. For this reason, this paper carries out dynamic planning of aircraft sortie generation based on multiobjective optimization. First, this paper selected a few indicators for measuring the congestion of air field and constructed a state demarcation model; then, it constructed an operating state identification model for the sortie generation and established objective functions for the aircraft runway sequencing model based on the scheduling time span and takeoff and landing delay time loss of the aircraft. At last, this paper elaborated on the methods of landing aircraft parking space scheduling and runway optimization, and the effectiveness of the general model was verified by experimental results, which can be applied to both field-based and cargo-based aircraft sortie generation problems.
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