An Analytical Optimisation Framework for Airport Terminal Capacity Expansion
Article
Article Title | An Analytical Optimisation Framework for Airport Terminal Capacity Expansion |
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ERA Journal ID | 493 |
Article Category | Article |
Authors | Alodhaibi, Sultan, Burdett, Robert L. and Yarlagadda, Prasad K. D. V. |
Journal Title | Complexity |
Journal Citation | 2020, pp. 1-10 |
Article Number | 2976281 |
Number of Pages | 10 |
Year | 2020 |
Publisher | Hindawi Publishing Corporation |
Place of Publication | United States |
ISSN | 1076-2787 |
1099-0526 | |
Digital Object Identifier (DOI) | https://doi.org/10.1155/2020/2976281 |
Web Address (URL) | https://www.hindawi.com/journals/complexity/2020/2976281/ |
Abstract | 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. |
Keywords | Airport Terminal; Capacity Expansion |
ANZSRC Field of Research 2020 | 4901. Applied mathematics |
Byline Affiliations | Qassim University, Saudi Arabia |
Queensland University of Technology |
https://research.usq.edu.au/item/y1866/an-analytical-optimisation-framework-for-airport-terminal-capacity-expansion
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