A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm
The aircraft landing problem (ALP) is an NP-hard problem; the aim of ALP is to minimize the total cost of landing deviation from predefined target time under the condition of safe landing. In this paper, the multiple runways case of the static ALP is considered and a hybrid metaheuristic based on ba...
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Language: | English |
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Wiley
2013-01-01
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2013/742653 |
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author | Jian Xie Yongquan Zhou Hongqing Zheng |
author_facet | Jian Xie Yongquan Zhou Hongqing Zheng |
author_sort | Jian Xie |
collection | DOAJ |
description | The aircraft landing problem (ALP) is an NP-hard problem; the aim of ALP is to minimize the total cost of landing deviation from predefined target time under the condition of safe landing. In this paper, the multiple runways case of the static ALP is considered and a hybrid metaheuristic based on bat algorithm is presented to solve it. Moreover, four types of landing time assignment strategies are applied to allocate the scheduling time, and a constructed initialization is used to speed up the convergence rate. The computational results show that the proposed algorithm can obtain the high-quality and comparable solutions for instances up to 500 aircrafts, and also it is capable of finding the optimal solutions for many instances in a short time. |
format | Article |
id | doaj-art-76f7b5450d5243bc849bab1da1c2fe51 |
institution | Kabale University |
issn | 1110-757X 1687-0042 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Applied Mathematics |
spelling | doaj-art-76f7b5450d5243bc849bab1da1c2fe512025-02-03T05:53:54ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/742653742653A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat AlgorithmJian Xie0Yongquan Zhou1Hongqing Zheng2College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, ChinaThe aircraft landing problem (ALP) is an NP-hard problem; the aim of ALP is to minimize the total cost of landing deviation from predefined target time under the condition of safe landing. In this paper, the multiple runways case of the static ALP is considered and a hybrid metaheuristic based on bat algorithm is presented to solve it. Moreover, four types of landing time assignment strategies are applied to allocate the scheduling time, and a constructed initialization is used to speed up the convergence rate. The computational results show that the proposed algorithm can obtain the high-quality and comparable solutions for instances up to 500 aircrafts, and also it is capable of finding the optimal solutions for many instances in a short time.http://dx.doi.org/10.1155/2013/742653 |
spellingShingle | Jian Xie Yongquan Zhou Hongqing Zheng A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm Journal of Applied Mathematics |
title | A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm |
title_full | A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm |
title_fullStr | A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm |
title_full_unstemmed | A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm |
title_short | A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm |
title_sort | hybrid metaheuristic for multiple runways aircraft landing problem based on bat algorithm |
url | http://dx.doi.org/10.1155/2013/742653 |
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