Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China-Reference-Cited by-同舟云学术

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Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China

Published:2024-02 Issue: Volume:291 Page:108620
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Dong Juan,Xing Liwen,Cui Ningbo,Guo Li,Liang Chuan,Zhao Lu,Wang Zhihui,Gong Daozhi

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Sichuan Province Science and Technology Support Program

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference87 articles.

1. A fault-tolerant adaptive genetic algorithm for service scheduling in internet of vehicles;Abbasi;Appl. Softw. Comput.,2023

2. Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models;Abdallah;J. Hydrol. Reg. Stud.,2022

3. Genetic algorithms as classical optimizer for the quantum approximate optimization algorithm;Acampora;Appl. Softw. Comput.,2023

4. Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms;Adnan;Comput. Electron. Agric.,2021

5. Memory, evolutionary operator, and local search based improved Grey Wolf Optimizer with linear population size reduction technique;Ahmed;Knowl. Based Syst.,2023

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