A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation

Airspace complexity is a paramount safety metric to measure the difficulty and effort required to safely manage air traffic. The continuing growth in air traffic demand results in increasing airspace complexity and unprecedented safety concerns. Most existing methods treat the minimization of airspa...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 83; S. 101400
Hauptverfasser:	Li, Biyue, Guo, Tong, Mei, Yi, Li, Yumeng, Chen, Jun, Zhang, Yu, Tang, Ke, Du, Wenbo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2023
Schlagworte:	Airspace complexity mitigation Evolutionary algorithm Memetic algorithm Multi-objective optimization Memetic algorithm Multi-objective optimization Evolutionary algorithm Airspace complexity mitigation
ISSN:	2210-6502
Online-Zugang:	Volltext
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