Handling Large Decision Variables in Multi-Objective Groundwater Optimization Problems: Aquifer Parameter-Based Clustering Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-023-03580-3.pdf
Reference25 articles.
1. Al-Maktoumi A, Rajabi MM, Zekri S, Triki C (2021) A probabilistic Multiperiod Simulation–Optimization Approach for Dynamic Coastal Aquifer Management. Water Resour Manage 35(11):3447–3462. https://doi.org/10.1007/s11269-021-02828-0
2. Audet C, Bigeon J, Cartier D, Digabel S, Le, Audet C, Bigeon J, Cartier D, Digabel S, Le, Performance LS (2021) Performance indicators in multi-objective optimization To cite this version: HAL Id : hal-03048871 Performance indicators in multi-objective optimization. https://doi.org/10.1016/j.ejor.2020.11.016
3. Bajpai M, Mishra S, Gaur S, Ohri A, Piégay H (2022) Optimization of Groundwater Pumping and River Aquifer exchanges for management of Water Resources. Water Resour Manage 0123456789. https://doi.org/10.1007/s11269-022-03112-5
4. Beça P, Rodrigues AC, Nunes JP et al (2023) Optimizing Reservoir Water Management in a changing climate. Water Resour Manage 37:3423–3437. https://doi.org/10.1007/s11269-023-03508-x
5. Chen M, Izady A, Abdalla OA (2017) An efficient surrogate-based simulation-optimization method for calibrating a regional MODFLOW model. J Hydrol 544:591–603. https://doi.org/10.1016/j.jhydrol.2016.12.011
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