Innovative Approaches to Tourism Demand Prediction: A Genetic Algorithm Perspective

Author:

Al Jassim Rasha S.1,Al Mansoory Shqran2,El Hajjar Said3,Al Maqbali Hilal A.1,Al-Shanfari Lamya1

Affiliation:

1. UTAS-Suar,Dept. of Information Technology,Suhar,Oman

2. UTAS-Shinas,Dept. of Information Technology,Shinas,Oman

3. City University,Dept. of Finance and Accounting,Ajman,UAE

Publisher

IEEE

Reference16 articles.

1. Predicting Hotel Performance in Oman with AI- Driven Predictive Analytic;Al Jassim,2023

2. QSAR study of the octanol/water partition coefficient of organophosphorous compounds: The hybrid GA/MLR and GA/ANN approaches

3. Short term load forecasting solution methodologies: literature review 2013 survey paper;Arif;IOSR Journal of Electrical and Electronics Engineering,2014

4. Genetic algorithms in search, optimization, and machine learning;Goldberg;Choice Reviews Online,1989

5. A Statistical Approach Describing the Impact of Using Moodle at Higher Institutions;Hajjar,2015

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