Solving Airport Gate Allocation Problem using Simulated Kalman Filter
Airport gate allocation problem refers to the search for optimal assignment of flights to gates at an airport. Assignment of flight to gates has become very complex nowadays, especially for a big size airport. In this study,the airport gate allocation problem is solved using a recently introduced m...
| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Universiti Sains Malaysia
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/11910/1/Solving%20Airport%20Gate%20Allocation%20Problem%20using%20Simulated%20Kalman%20Filter.pdf |
| _version_ | 1825822707912015872 |
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| author | Zulkifli, Md. Yusof Siti Nurzulaikha, Satiman Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Saifudin, Razali Zuwairie, Ibrahim Zulfakar, Aspar Suraya, Ismail |
| author_facet | Zulkifli, Md. Yusof Siti Nurzulaikha, Satiman Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Saifudin, Razali Zuwairie, Ibrahim Zulfakar, Aspar Suraya, Ismail |
| author_sort | Zulkifli, Md. Yusof |
| collection | UMP |
| description | Airport gate allocation problem refers to the search for optimal assignment of flights to gates at an airport. Assignment of flight to gates has become very complex
nowadays, especially for a big size airport. In this study,the airport gate allocation problem is solved using a recently introduced meta-heuristic called simulated
Kalman filter (SKF). The SKF is driven by the estimation capability of a well-known Kalman filter. The objective of this study is to minimize the total walking distance. Since the airport gate allocation problem is a combinatorial optimization problem, the original SKF is extended such that it can be used to solve combinatorial optimization problems. A small case study with 15 flights and 16 gates has been chosen. Preliminary results show that SKF is a promising algorithm for solving the airport gate allocation problem. |
| first_indexed | 2024-03-06T12:00:38Z |
| format | Conference or Workshop Item |
| id | UMPir11910 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:00:38Z |
| publishDate | 2016 |
| publisher | Universiti Sains Malaysia |
| record_format | dspace |
| spelling | UMPir119102017-10-30T02:31:32Z http://umpir.ump.edu.my/id/eprint/11910/ Solving Airport Gate Allocation Problem using Simulated Kalman Filter Zulkifli, Md. Yusof Siti Nurzulaikha, Satiman Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Saifudin, Razali Zuwairie, Ibrahim Zulfakar, Aspar Suraya, Ismail TK Electrical engineering. Electronics Nuclear engineering Airport gate allocation problem refers to the search for optimal assignment of flights to gates at an airport. Assignment of flight to gates has become very complex nowadays, especially for a big size airport. In this study,the airport gate allocation problem is solved using a recently introduced meta-heuristic called simulated Kalman filter (SKF). The SKF is driven by the estimation capability of a well-known Kalman filter. The objective of this study is to minimize the total walking distance. Since the airport gate allocation problem is a combinatorial optimization problem, the original SKF is extended such that it can be used to solve combinatorial optimization problems. A small case study with 15 flights and 16 gates has been chosen. Preliminary results show that SKF is a promising algorithm for solving the airport gate allocation problem. Universiti Sains Malaysia 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11910/1/Solving%20Airport%20Gate%20Allocation%20Problem%20using%20Simulated%20Kalman%20Filter.pdf Zulkifli, Md. Yusof and Siti Nurzulaikha, Satiman and Kamil Zakwan, Mohd Azmi and Badaruddin, Muhammad and Saifudin, Razali and Zuwairie, Ibrahim and Zulfakar, Aspar and Suraya, Ismail (2016) Solving Airport Gate Allocation Problem using Simulated Kalman Filter. In: Proceedings of International Conference on Knowledge Transfer (ICKT'15) , 1-3 December 2015 , Putrajaya Marriott Hotel, Malaysia. pp. 121-127.. ISBN 978-967-394-255-8 (Published) https://drive.google.com/file/d/0ByBlFVsjNeg5a3ZXYkZ3TVVoRlE/view |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Zulkifli, Md. Yusof Siti Nurzulaikha, Satiman Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Saifudin, Razali Zuwairie, Ibrahim Zulfakar, Aspar Suraya, Ismail Solving Airport Gate Allocation Problem using Simulated Kalman Filter |
| title | Solving Airport Gate Allocation Problem using Simulated Kalman Filter |
| title_full | Solving Airport Gate Allocation Problem using Simulated Kalman Filter |
| title_fullStr | Solving Airport Gate Allocation Problem using Simulated Kalman Filter |
| title_full_unstemmed | Solving Airport Gate Allocation Problem using Simulated Kalman Filter |
| title_short | Solving Airport Gate Allocation Problem using Simulated Kalman Filter |
| title_sort | solving airport gate allocation problem using simulated kalman filter |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/11910/1/Solving%20Airport%20Gate%20Allocation%20Problem%20using%20Simulated%20Kalman%20Filter.pdf |
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