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A methodological framework for the optimal design of injection barriers against seawater intrusion in coastal-rural regions
Seawater intrusion (SWI) has nowadays evolved into a major problem for many coastal
areas worldwide, adversely affecting both the environment and local economies. To …
areas worldwide, adversely affecting both the environment and local economies. To …
Adaptive machine learning surrogate based multiobjective optimization for scavenging residual saltwater behind subsurface dams
High-fidelity physically based groundwater flow and solute transport models have been
limited for seawater intrusion remediation design because of computationally intensive …
limited for seawater intrusion remediation design because of computationally intensive …
Simulation of Complex Groundwater Flow Processes in Low‐Fidelity Radial Flow Model Using a Mathematical Representation of the Variation of Vertical Hydraulic …
Numerical groundwater models are key tools to calculate the deployable output from
pumped boreholes. Their calibration requires undertaking multiple runs to optimise the …
pumped boreholes. Their calibration requires undertaking multiple runs to optimise the …
A multi-fidelity framework for power prediction of wind farm under yaw misalignment
Y Tu, Y Chen, K Zhang, R He, Z Han, D Zhou - Applied Energy, 2025 - Elsevier
Collective yaw control is a promising approach for wind farm flow control. The investigation
approaches exhibit varying levels of fidelity. High-fidelity numerical simulations offer …
approaches exhibit varying levels of fidelity. High-fidelity numerical simulations offer …
Inverse problem assisted multivariate geostatistical model for identification of transmissivity fields
A Kapoor, D Kashyap - Frontiers in Water, 2024 - frontiersin.org
Groundwater models often require transmissivity (T) fields as an input. These T fields are
commonly generated by performing univariate interpolation of the T data. This T data is …
commonly generated by performing univariate interpolation of the T data. This T data is …
Development of a novel multi-fidelity meta modeling approach for robust multi-objective optimization of a natural gas-hydrogen/diesel dual fuel engine
Y Sehili, M Cerdoun, L Tarabet… - Proceedings of the …, 2024 - journals.sagepub.com
Multi-fidelity modeling (MFM) is an evolving field that matches low-fidelity models (LFM) and
high-fidelity models (HFM) to get better solutions with low computational cost. However …
high-fidelity models (HFM) to get better solutions with low computational cost. However …
Improved Tuna Swarm Optimization (ITSO) Algorithm based on Adaptive Fitness-Weight for Global Optimization
AFS Yussif, T Seini, C Adu - International Journal of Electrical …, 2024 - ijeeas.utem.edu.my
In this paper, an improved variant of the Tuna Swarm Optimization (TSO) algorithm called
the Improved Tuna Swarm Optimization (ITSO) algorithm is proposed. An alternative way to …
the Improved Tuna Swarm Optimization (ITSO) algorithm is proposed. An alternative way to …
[BOOK][B] Integrated Framework for Constrained Optimization of Well Placement and Control in Subsurface Operations
A Zou - 2023 - search.proquest.com
The use of formal optimization procedures for hydrocarbon production and geological CO 2
storage enables the most effective operating strategies to be identified. These optimizations …
storage enables the most effective operating strategies to be identified. These optimizations …