A Forecasting Tool for Predicting Australia’s Domestic Airline Passenger Demand Using a Genetic Algorithm

A Forecasting Tool for Predicting Australia’s Domestic Airline Passenger Demand Using a Genetic Algorithm

This study has proposed and empirically tested for the first time genetic algorithm optimization models for modelling Australia’s domestic airline passenger demand,as measured by enplaned passengers (GAPAXDE model) and revenue passenger kilometres performed (GARPKSDE model). Data was divided into tr...

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Bibliographic Details
Main Authors: Panarat Srisaeng, Glenn Baxter, Steven Richardson, Graham Wild
Format: Article
Language:English
Published: Instituto de Aeronáutica e Espaço (IAE) 2015-11-01
Series:Journal of Aerospace Technology and Management
Subjects:
Australia
Forecasting method
Genetic algorithm
Domestic airlines
Air transport.
Online Access:https://www.jatm.com.br/jatm/article/view/475

Internet

https://www.jatm.com.br/jatm/article/view/475

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