Surrogate assisted multi-objective robust optimization for groundwater monitoring network design-Reference-Cited by-同舟云学术

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Surrogate assisted multi-objective robust optimization for groundwater monitoring network design

Published:2019-10 Issue: Volume:577 Page:123994
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Song Jian,Yang Yun,Chen Gan,Sun Xiaomin,Lin Jin,Wu Jianfeng,Wu Jichun

Funder

National Key Research and Development Plan of China

National Natural Science Foundation of China

Nanjing University

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference64 articles.

1. A robust and efficient stepwise regression method for building sparse polynomial chaos expansions;Abraham;J. Comput. Phys.,2017

2. Multiobjective design of aquifer monitoring networks for optimal spatial prediction and geostatistical parameter estimation;Alzraiee;Water Resour. Res.,2013

3. A review of surrogate models and their application to groundwater modeling;Asher;Water Resour. Res.,2015

4. Some basic hypergeometric polynomials that generalize Jacobi polynomials;Askey,1985

5. Optimization of high-reliability-based hydrological design problems by robust automatic sampling of critical model realizations;Bayer;Water Resour. Res.,2010

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