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The comparison of the metaheuristic algorithms performances on airport gate assignment problem

Author
Yeniseye, M. Mutlu
Sansarci, Engin
Aktel, Abdullah
YAĞMAHAN, BETÜL
Özcan, Tuncay
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Abstract
The airport gate assignment problem (AGAP) is an important research area in air transportation planning and optimization. In this paper we study the airport gate assignment problem where the objectives are to minimize the number of ungated flights and the total walking distances. In order to solve the problem, we proposed a new tabu search (TS) algorithm which uses a probabilistic approach as an aspiration criterion. We compared two metaheuristics, namely, TS, and simulated annealing (SA). A greedy algorithm used as a benchmark. We compared the performances of the algorithms and analyzed at different problem sizes. Experimentations showed that the new proposed metaheuristic algorithm gave promising results. (C) 2017 The Authors. Published by Elsevier B.V.
URI
http://hdl.handle.net/20.500.12627/70597
https://doi.org/10.1016/j.trpro.2017.03.061
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Creative Commons Lisansı

İstanbul Üniversitesi Akademik Arşiv Sistemi (ilgili içerikte aksi belirtilmediği sürece) Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV