Clustering-based Iterative Optimization Method for Aircraft Landing Sequence under Crowded Conditon-Reference-Cited by-同舟云学术

Clustering-based Iterative Optimization Method for Aircraft Landing Sequence under Crowded Conditon

Published:2022-02-01 Issue:2 Volume:142 Page:198-205
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Murata Akinori¹,Sato Hiroyuki²,Takadama Keiki²,Delahaye Daniel³

Affiliation:

1. National Institute of Maritime, Port and Aciation Technology Electric Navigation Research Institute

2. The University of Electro-Communications

3. French Civil Aviation University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/142/2/142_198/_pdf

Reference16 articles.

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2. (2) A. Murata, D. Delahaye, and K. Takadama: “Merging flows and optimizing aircraft scheduling in terminal maneuvering area based on ga”, in ICRAT 2018, 8th International Conference for Research in Air Transportation (2018)

3. (3) X.-B. Hu and W.-H. Chen: “Genetic algorithm based on receding horizon control for arrival sequencing and scheduling”, Engineering Applications of Artificial Intelligence, Vol. 18, No. 5, pp. 633-642 (2005)

4. (4) J. A. Bennell, M. Mesgarpour, and C. N. Potts: “Airport runway scheduling”, 4OR, Vol. 9, No. 2, pp. 115-138 (2011)

5. (5) Y. Miyazawa, N. K. Wickramasinghe, A. Harada, and Y. Miyamoto: “Passenger aircraft optimal trajectory with an arrival time constraint”, Space Technology Japan, The Japan Society for Aeronautical and Space Science, Vol. 12, pp. 31-38 (2013)