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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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 83; p. 101400
Main Authors:	Li, Biyue, Guo, Tong, Mei, Yi, Li, Yumeng, Chen, Jun, Zhang, Yu, Tang, Ke, Du, Wenbo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2023
Subjects:	Airspace complexity mitigation Evolutionary algorithm Memetic algorithm Multi-objective optimization Memetic algorithm Multi-objective optimization Evolutionary algorithm Airspace complexity mitigation
ISSN:	2210-6502
Online Access:	Get full text
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