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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Main Authors: Jian Xie, Yongquan Zhou, Hongqing Zheng
Format: Article
Language:English
Published: Wiley 2013-01-01
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.
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id doaj-art-76f7b5450d5243bc849bab1da1c2fe51
institution Kabale University
issn 1110-757X
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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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