Irrigation water allocation optimization using multi-objective evolutionary algorithm (MOEA) − a review
Int. J. Simul. Multidisci. Des. Optim., 9 (2018) A3
Published online: 2018-03-16
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
A Systematic Review of Crop Planning Optimisation Under Climate Change
Marcus Randall, Karin Schiller, Andrew Lewis, James Montgomery and Muhammad Shahinur AlamWater Resources Management 38 (6) 1867 (2024)
https://doi.org/10.1007/s11269-024-03758-3
Exploiting IoT and Its Enabled Technologies for Irrigation Needs in Agriculture
Veerachamy Ramachandran, Ramar Ramalakshmi, Balasubramanian Kavin, Irshad Hussain, Abdulrazak Almaliki, Abdulrhman Almaliki, Ashraf Elnaggar and Enas HusseinWater 14 (5) 719 (2022)
https://doi.org/10.3390/w14050719
A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms
Ehsan PazoukiAgricultural Water Management 248 106755 (2021)
https://doi.org/10.1016/j.agwat.2021.106755
Crop yield simulation optimization using precision irrigation and subsurface water retention technology
Proteek Chandan Roy, Andrey Guber, Mohammad Abouali, et al.Environmental Modelling & Software 119 433 (2019)
https://doi.org/10.1016/j.envsoft.2019.07.006
Optimum irrigation water allocation and crop distribution using combined Pareto multi-objective differential evolution
Akinola Ikudayisi, Josiah Adeyemo, John Odiyo, Abimbola Enitan and Roberto RevelliCogent Engineering 5 (1) 1535749 (2018)
https://doi.org/10.1080/23311916.2018.1535749