A multi-objective genetic algorithm for solving the airport ground movement problem

Weiszer, Michal, Chen, Jun and Stewart, Paul (2014) A multi-objective genetic algorithm for solving the airport ground movement problem. In: 4th Carpathian logistics congress, 24-26th September 2014, Slovakia.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

The airport ground movement problem is one of the most important among airport ground operations as it connects runway sequencing and the gate or stand allocation problem. The main goal of the ground movement problem is to find optimal routes and schedules for all aircraft moving on the airport surface. With increasing air traffic, rising fuel costs and tighter environmental targets the efficient operation of the ground movement in terms of time and fuel consumption is becoming a more pressing issue. Therefore, in this paper a multi-objective optimisation problem is presented to simultaneously optimise departure schedules and speed profiles of taxiing aircraft. To solve this problem a genetic algorithm is adopted to investigate the trade-off between the total taxi time and fuel consumption. The experimental results, using real airport data, highlight the potential trade-off that can be achieved by selecting different speed profiles.

Keywords:multi-objective optimisation, aircraft ground movement, Genetic algorithms
Subjects:G Mathematical and Computer Sciences > G200 Operational Research
Divisions:College of Science > School of Engineering
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ID Code:14255
Deposited On:06 Jun 2014 08:24

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