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Solving Airport Gate Allocation Problem using Simulated Kalman Filter

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

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Abstract

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.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Airport Scheduling, Gate Assignment, Simulated Kalman Filter, Walking Distance
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 01 Mar 2016 03:36
Last Modified: 30 Oct 2017 02:31
URI: http://umpir.ump.edu.my/id/eprint/11910
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