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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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 |
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Operations and Supply Chain Management Transportation DING, H. LIM, Andrew RODRIGUES, Brian ZHU, Yi Aircraft and Gate Scheduling Optimization at Airports |
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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. |
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DING, H. LIM, Andrew RODRIGUES, Brian ZHU, Yi |
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DING, H. LIM, Andrew RODRIGUES, Brian ZHU, Yi |
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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 |
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Aircraft and Gate Scheduling Optimization at Airports |
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aircraft and gate scheduling optimization at airports |
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Institutional Knowledge at Singapore Management University |
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2004 |
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https://ink.library.smu.edu.sg/lkcsb_research/2388 https://doi.org/10.1109/HICSS.2004.1265219 |
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