The application of 0–1 mixed integer nonlinear programming optimization model based on a surrogate model to identify the groundwater pollution source

Title
The application of 0–1 mixed integer nonlinear programming optimization model based on a surrogate model to identify the groundwater pollution source
Authors
Keywords
0–1 mixed integer nonlinear programming, Groundwater pollution source identification, Groundwater solute transport, Surrogate model
Journal
JOURNAL OF CONTAMINANT HYDROLOGY
Volume 220, Issue -, Pages 18-25
Publisher
Elsevier BV
Online
2018-11-20
DOI
10.1016/j.jconhyd.2018.11.005

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