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Review Articles

Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions

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Pages 811-823 | Received 12 May 2019, Accepted 14 Jul 2019, Published online: 08 Aug 2019

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Hamidreza Vosoughifar, Helaleh Khoshkam, Sayed M. Bateni, Changhyun Jun, Tongren Xu, Shahab S. Band & Christopher M. U. Neale. (2023) Estimation of daily reference evapotranspiration from limited climatic variables in coastal regions. Hydrological Sciences Journal 68:1, pages 91-107.
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Huaijie He, Ling Liu & Xiuqun Zhu. (2022) Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference evapotranspiration in Hetao Irrigation District of China. Engineering Applications of Computational Fluid Mechanics 16:1, pages 1939-1956.
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Anurag Malik, Mandeep Kaur Saggi, Sufia Rehman, Haroon Sajjad, Samed Inyurt, Amandeep Singh Bhatia, Aitazaz Ahsan Farooque, Atheer Y. Oudah & Zaher Mundher Yaseen. (2022) Deep learning versus gradient boosting machine for pan evaporation prediction. Engineering Applications of Computational Fluid Mechanics 16:1, pages 570-587.
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Zaher Mundher Yaseen, Anas Mahmood Al-Juboori, Ufuk Beyaztas, Nadhir Al-Ansari, Kwok-Wing Chau, Chongchong Qi, Mumtaz Ali, Sinan Q. Salih & Shamsuddin Shahid. (2020) Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models. Engineering Applications of Computational Fluid Mechanics 14:1, pages 70-89.
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