Forecasting Australia’s domestic low cost carrier passenger demand using a genetic algorithm approach

Forecasting Australia’s domestic low cost carrier passenger demand using a genetic algorithm approach

This study has proposed and empirically tested for the first time Genetic Algorithm (GA) models for forecasting Australia’s domestic low cost carriers’ demand, as measured by enplaned passengers (GAPAXDE Model) and revenue passenger kilometres performed (GARPKSDE Model). Data was divided into traini...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Panarat Srisaeng, Steven Richardson, Glenn S. Baxter, Graham Wild
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Vilnius Gediminas Technical University 2016-06-01
Sarja:Aviation
Aiheet:
Australia
forecasting method
genetic algorithm (GA)
low cost carriers
air transport
Linkit:http://journals.vgtu.lt/index.php/Aviation/article/view/703

Internet

http://journals.vgtu.lt/index.php/Aviation/article/view/703

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