Advances in Geosciences
Advances in Geosciences
ADGEO
Articles | Volume 64
Articles | Volume 64
https://doi.org/10.5194/adgeo-64-23-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/adgeo-64-23-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 64
22 Aug 2024
 | 22 Aug 2024

An Efficient Surrogate-based Multi-objective Optimisation Framework with Novel Sampling Strategy for Sustainable Island Groundwater Management

Weijiang Yu, Domenico Baù, Alex S. Mayer, and Mohammadali Geranmehr

Viewed

Total article views: 1,197 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
884 262 51 1,197 76 133
  • HTML: 884
  • PDF: 262
  • XML: 51
  • Total: 1,197
  • BibTeX: 76
  • EndNote: 133
Views and downloads (calculated since 22 Aug 2024)
Cumulative views and downloads (calculated since 22 Aug 2024)

Viewed (geographical distribution)

Total article views: 1,170 (including HTML, PDF, and XML) Thereof 1,170 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jun 2026
Download
Short summary
This study proposes an offline machine-learning (ML) algorithm that ranks candidate training points by scoring them based on their distance to the closest training point and on the local gradient of the surrogate estimate and then choosing the highest-rank point. The effectiveness of this method is confirmed in developing surrogates to solve a two-objective groundwater pumping optimization problem formulated on a three-dimensional island aquifer.
Read more
Share