Multi-objective Model Optimization
Multi-Objective Model Optimization is a computational framework in hydrological modeling that simultaneously optimizes multiple conflicting objective functions—such as predictive accuracy, model simplicity, and computational efficiency—within the calibration of streamflow prediction models to identify Pareto-optimal solutions.
912
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37.5K
Citations
3K
Authors
1K
Institutions
Publications per year
2017–2026
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University of Tehran
Tehran, Iran
23 h-index
69 publications
2.7K citations

Iran University of Science and Technology
Tehran, Iran
18 h-index
39 publications
1.5K citations

Hohai University
Nanjing, China
16 h-index
51 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
18 publications
1.1K citations
Tsinghua University
Beijing, China
14 h-index
36 publications
1.6K citations
Wuhan University
Wuhan, China
13 h-index
28 publications
1.6K citations

Huazhong University of Science and Technology
Wuhan, China
12 h-index
40 publications
1.2K citations

North China Electric Power University
Beijing, China
11 h-index
40 publications
1.9K citations
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43 publications · 3.7K citations
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27 publications · 2K citations
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20 publications · 674 citations
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29 publications · 671 citations
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