Aircraft and Gate Scheduling Optimization at Airports

In this paper, we consider the over-constrained Airport Gate Assignment Problem where the number of flights exceeds the number of gates available, and where the objectives are to minimize the number of ungated flights and the total walking distances or connection times. We design a greedy algorithm...

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Main Authors: DING, H., LIM, Andrew, RODRIGUES, Brian, ZHU, Yi
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2388
https://doi.org/10.1109/HICSS.2004.1265219
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spelling sg-smu-ink.lkcsb_research-33872010-09-23T12:30:04Z Aircraft and Gate Scheduling Optimization at Airports DING, H. LIM, Andrew RODRIGUES, Brian ZHU, Yi In this paper, we consider the over-constrained Airport Gate Assignment Problem where the number of flights exceeds the number of gates available, and where the objectives are to minimize the number of ungated flights and the total walking distances or connection times. We design a greedy algorithm and use a Tabu Search meta-heuristic to solve the problem. The greedy algorithm minimizes ungated flights while providing initial feasible solutions while we devise a new neighborhood search technique, the Interval Exchange Move, which allows us flexibility in seeking good solutions, especially in case when flight schedules are dense in time. Experiments conducted give good results. 2004-01-05T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2388 info:doi/10.1109/HICSS.2004.1265219 https://doi.org/10.1109/HICSS.2004.1265219 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Operations and Supply Chain Management Transportation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Operations and Supply Chain Management
Transportation
spellingShingle Operations and Supply Chain Management
Transportation
DING, H.
LIM, Andrew
RODRIGUES, Brian
ZHU, Yi
Aircraft and Gate Scheduling Optimization at Airports
description In this paper, we consider the over-constrained Airport Gate Assignment Problem where the number of flights exceeds the number of gates available, and where the objectives are to minimize the number of ungated flights and the total walking distances or connection times. We design a greedy algorithm and use a Tabu Search meta-heuristic to solve the problem. The greedy algorithm minimizes ungated flights while providing initial feasible solutions while we devise a new neighborhood search technique, the Interval Exchange Move, which allows us flexibility in seeking good solutions, especially in case when flight schedules are dense in time. Experiments conducted give good results.
format text
author DING, H.
LIM, Andrew
RODRIGUES, Brian
ZHU, Yi
author_facet DING, H.
LIM, Andrew
RODRIGUES, Brian
ZHU, Yi
author_sort DING, H.
title Aircraft and Gate Scheduling Optimization at Airports
title_short Aircraft and Gate Scheduling Optimization at Airports
title_full Aircraft and Gate Scheduling Optimization at Airports
title_fullStr Aircraft and Gate Scheduling Optimization at Airports
title_full_unstemmed Aircraft and Gate Scheduling Optimization at Airports
title_sort aircraft and gate scheduling optimization at airports
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/lkcsb_research/2388
https://doi.org/10.1109/HICSS.2004.1265219
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