Inversion of groundwater contamination source based on a two-stage adaptive surrogate model-assisted trust region genetic algorithm framework

DOI10.1016/J.APM.2022.07.035zbMath1505.86005OpenAlexW4289745716WikidataQ113880162 ScholiaQ113880162MaRDI QIDQ2110765

Yanyan Li

Publication date: 23 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.07.035

zbMATH Keywords

inversionsimulation-optimizationcross-validation Voronoi approachgroundwater contamination sourcetrust region genetic algorithmtwo-stage adaptive surrogate model

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Applications to the sciences (65Z05)

Cites Work

• Unnamed Item
• Distribution-based adaptive bounding genetic algorithm for continuous optimisation problems
• Online surrogate multiobjective optimization algorithm for contaminated groundwater remediation designs
• Contaminant source identification in aquifers: a critical view
• Adaptive surrogate-based design optimization with expected improvement used as infill criterion

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