Solving Airport Gate Allocation Problem Using Angle Modulated Simulated Kalman Filter

Kamil Zakwan, Mohd Azmi and Zulkifli, Md. Yusof and Siti Nurzulaikha, Satiman and Badaruddin, Muhammad and Saifudin, Razali and Zuwairie, Ibrahim and Nor Azlina, Ab. Aziz and Nor Hidayati, Abd Aziz (2016) Solving Airport Gate Allocation Problem Using Angle Modulated Simulated Kalman Filter. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 875-885..

P117 pg875-885.pdf

Download (762kB) | Preview


In order to solve discrete optimization problem, the SKF algorithm is combined with angle modulated approach. 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 angle modulated simulated Kalman filter (AMSKF). The objective of this study is to minimize the total walking distance. A small case study with 14 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 (Lecture)
Uncontrolled Keywords: airport schedule, gate assignment, angle modulated, simulated Kalman filter, walking distance
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Rosfadilla Mohamad Zainun
Date Deposited: 09 Dec 2016 05:48
Last Modified: 30 Oct 2017 02:18
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item