An Analytical Optimisation Framework for Airport Terminal Capacity Expansion
This article considers how to allocate additional physical resources within airport terminals. An optimization model was developed to determine where additional resources should be placed to minimise passenger waiting times. The objective function is stochastic and can only be evaluated using discre...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/2976281 |
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author | Sultan Alodhaibi Robert L. Burdett Prasad K. D. V. Yarlagadda |
author_facet | Sultan Alodhaibi Robert L. Burdett Prasad K. D. V. Yarlagadda |
author_sort | Sultan Alodhaibi |
collection | DOAJ |
description | This article considers how to allocate additional physical resources within airport terminals. An optimization model was developed to determine where additional resources should be placed to minimise passenger waiting times. The objective function is stochastic and can only be evaluated using discrete event simulation. As this model is stochastic and nonlinear, a Simulated Annealing (SA) metaheuristic was implemented and tested. The SA algorithm repeatedly perturbs a resource allocation solution using one of two methods. The first method is creating new solution randomly in each iteration, and the second method is local search that is mimicked by any move of the current solution of x solution chosen randomly in its neighborhood. Numerical testing shows that the random approach is best, and solutions that are 12.11% better can be obtained. |
format | Article |
id | doaj-art-bb4041f7559b4151ab2d4b8d63411750 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-bb4041f7559b4151ab2d4b8d634117502025-02-03T01:05:11ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/29762812976281An Analytical Optimisation Framework for Airport Terminal Capacity ExpansionSultan Alodhaibi0Robert L. Burdett1Prasad K. D. V. Yarlagadda2Department of Mathematics, College of Sciences and Arts in Al-Rass, Qassim University, Buraidah 51921, Saudi ArabiaSchool of Mathematical Science, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4001, AustraliaSchool of Mechanical Medical and Process Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4001, AustraliaThis article considers how to allocate additional physical resources within airport terminals. An optimization model was developed to determine where additional resources should be placed to minimise passenger waiting times. The objective function is stochastic and can only be evaluated using discrete event simulation. As this model is stochastic and nonlinear, a Simulated Annealing (SA) metaheuristic was implemented and tested. The SA algorithm repeatedly perturbs a resource allocation solution using one of two methods. The first method is creating new solution randomly in each iteration, and the second method is local search that is mimicked by any move of the current solution of x solution chosen randomly in its neighborhood. Numerical testing shows that the random approach is best, and solutions that are 12.11% better can be obtained.http://dx.doi.org/10.1155/2020/2976281 |
spellingShingle | Sultan Alodhaibi Robert L. Burdett Prasad K. D. V. Yarlagadda An Analytical Optimisation Framework for Airport Terminal Capacity Expansion Complexity |
title | An Analytical Optimisation Framework for Airport Terminal Capacity Expansion |
title_full | An Analytical Optimisation Framework for Airport Terminal Capacity Expansion |
title_fullStr | An Analytical Optimisation Framework for Airport Terminal Capacity Expansion |
title_full_unstemmed | An Analytical Optimisation Framework for Airport Terminal Capacity Expansion |
title_short | An Analytical Optimisation Framework for Airport Terminal Capacity Expansion |
title_sort | analytical optimisation framework for airport terminal capacity expansion |
url | http://dx.doi.org/10.1155/2020/2976281 |
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