A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing-Reference-Cited by-同舟云学术

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A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing

Published:2018-07-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Brownlee Alexander E. I.¹,Woodward John R.²,Weiszer Michal²,Chen Jun²

Affiliation:

1. University of Stirling, Stirling, UK

2. Queen Mary University of London, London, UK

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3205455.3205558

Reference38 articles.

1. Airport Ground Movement Problem: Minimization of Delay and Pollution Emission;Adacher L.;IEEE Trans. on Intelligent Transportation Systems PP,2018

2. Addressing the Pushback Time Allocation Problem at Heathrow Airport

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1. Application of Improved Q-Learning Algorithm in Dynamic Path Planning for Aircraft at Airports;IEEE Access;2023

2. Study on 4D taxiing path planning of aircraft based on spatio-temporal network;Mathematical Biosciences and Engineering;2022

3. A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties;Transportation Research Part C: Emerging Technologies;2021-11

4. Conflict-free routing of multi-stop warehouse trucks;Optimization Letters;2019-07-12

5. A fuzzy approach to addressing uncertainty in Airport Ground Movement optimisation;Transportation Research Part C: Emerging Technologies;2018-07

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