130 citations as recorded by crossref.

1. Calibration of hydraulic parameters for large-scale vertical flow constructed wetlands U. Maier et al.
2. Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting E. Toth
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4. On the use of multi‐algorithm, genetically adaptive multi‐objective method for multi‐site calibration of the SWAT model X. Zhang et al.
5. Parameter estimation of a physically based land surface hydrologic model using the ensemble Kalman filter: A synthetic experiment Y. Shi et al.
6. When are multiobjective calibration trade‐offs in hydrologic models meaningful? J. Kollat et al.
7. Comparison of efficiency between differential evolution and evolution strategy: application of the LST model to the Be River catchment in Vietnam N. Hang & H. Chikamori
8. Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications Y. Tang et al.
9. Integration of evolutionary based assimilation into Kalman-type methods for streamflow simulations in ungauged watersheds G. Dumedah & P. Coulibaly
10. Searching for an Optimized Single-objective Function Matching Multiple Objectives with Automatic Calibration of Hydrological Models F. Tian et al.
11. Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models K. van Werkhoven et al.
12. Multiresponse multilayer vadose zone model calibration using Markov chain Monte Carlo simulation and field water retention data T. Wöhling & J. Vrugt
13. Deep learning-based optimal adaptive regulation pathway of algal blooms in urban rivers under long-term uncertainties C. Xu et al.
14. Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation J. Jeon et al.
15. Multi-Site Calibration of Linear Reservoir Based Geomorphologic Rainfall-Runoff Models B. Saeidifarzad et al.
16. Characterization of watershed model behavior across a hydroclimatic gradient K. van Werkhoven et al.
17. Attribution of streamflow trends in snow and glacier melt‐dominated catchments of the Tarim River, Central Asia D. Duethmann et al.
18. Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction J. Chu et al.
19. Responses of hydrological model equifinality, uncertainty, and performance to multi-objective parameter calibration Y. Her & C. Seong
20. Multi-objective automatic calibration of hydrodynamic models utilizing inundation maps and gauge data N. Dung et al.
21. QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification A. Kapoor & R. Chandra
22. A framework for Visually Interactive Decision-making and Design using Evolutionary Multi-objective Optimization (VIDEO) J. Kollat & P. Reed
23. Calibration analysis for water storage variability of the global hydrological model WGHM S. Werth & A. Güntner
24. Modeling and Combined Application of Orthogonal Chaotic NSGA-II and Improved TOPSIS to Optimize a Conceptual Hydrological Model T. Peng et al.
25. Comparative Study of Evolutionary Algorithms for the Automatic Calibration of the Medbasin-D Conceptual Hydrological Model D. Tigkas et al.
26. Parameter identification and calibration of the Xin’anjiang model using the surrogate modeling approach Y. Ye et al.
27. Physical Mechanisms Related to Climate-Induced Drying of Two Semiarid Watersheds in the Southwestern United States S. Rajagopal et al.
28. Incorporating multiple observations for distributed hydrologic model calibration: An approach using a multi-objective evolutionary algorithm and clustering S. Khu et al.
29. Effects of land use and land cover changes and water uses on water security in an anthropized basin P. Pinto et al.
30. Calibração do Storm Water Management Model (SWMM) utilizando algoritmos evolucionários multiobjetivo K. Formiga et al.
31. Application research of multi-objective Artificial Bee Colony optimization algorithm for parameters calibration of hydrological model J. Huo & L. Liu
32. Efficient prediction uncertainty approximation in the calibration of environmental simulation models B. Tolson & C. Shoemaker
33. Resolving structural errors in a spatially distributed hydrologic model using ensemble Kalman filter state updates J. Spaaks & W. Bouten
34. Development of an Automatic Calibration Tool Using Genetic Algorithm for the ARNO Conceptual Rainfall-Runoff Model M. Khazaei et al.
35. Pareto-Optimal Multi-objective Inversion of Geophysical Data S. Schnaidt et al.
36. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard
37. Multiobjective sensitivity analysis and optimization of distributed hydrologic model MOBIDIC J. Yang et al.
38. Evaluation of the Parameter Sensitivities of a Coupled Land Surface Hydrologic Model at a Critical Zone Observatory Y. Shi et al.
39. Comparison of Three Multiobjective Optimization Algorithms for Inverse Modeling of Vadose Zone Hydraulic Properties T. Wöhling et al.
40. Multi-objective performance comparison of an artificial neural network and a conceptual rainfall—runoff model N. DE VOS & T. RIENTJES
41. Current awareness
42. One decade of multi-objective calibration approaches in hydrological modelling: a review A. Efstratiadis & D. Koutsoyiannis
43. Evolutionary multiobjective optimization in water resources: The past, present, and future P. Reed et al.
44. Comparative analysis of multiobjective evolutionary algorithms for random and correlated instances of multiobjective d-dimensional knapsack problems R. Shah & P. Reed
45. Evolutionary assimilation of streamflow in distributed hydrologic modeling using in-situ soil moisture data G. Dumedah & P. Coulibaly
46. Advancing SWAT Model Calibration: A U-NSGA-III-Based Framework for Multi-Objective Optimization H. Mao et al.
47. Streamflow prediction in ungauged catchments using copula‐based dissimilarity measures L. Samaniego et al.
48. Many-objective optimization and visual analytics reveal key trade-offs for London’s water supply E. Matrosov et al.
49. Selecting Model Parameter Sets from a Trade-off Surface Generated from the Non-Dominated Sorting Genetic Algorithm-II G. Dumedah et al.
50. State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management J. Nicklow et al.
51. Research on Combination Forecast Mode of Conceptual Hydrological Model M. Dai et al.
52. Parallel multi-objective calibration of a component-based river temperature model C. Buahin et al.
53. Screening reservoir systems by considering the efficient trade-offs—informing infrastructure investment decisions on the Blue Nile R. Geressu & J. Harou
54. Advancing the identification and evaluation of distributed rainfall‐runoff models using global sensitivity analysis Y. Tang et al.
55. A new selection metric for multiobjective hydrologic model calibration M. Asadzadeh et al.
56. Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework D. Hadka & P. Reed
57. DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture W. Zhu et al.
58. Assessment of a seasonal calibration technique using multiple objectives in rainfall–runoff analysis H. Kim & S. Lee
59. A new approach to solve a general system of linear inequalities based on NSGA-II R. Goyal et al.
60. Multi-objective autocalibration of SWAT model for improved low flow performance for a small snowfed catchment V. Chilkoti et al.
61. Comment on "How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?" by Y. Tang et al., Hydrol. Earth Syst. Sci., 10, 289–307, 2006 J. Vrugt
62. A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction A. Wright et al.
63. Navigating financial and supply reliability tradeoffs in regional drought management portfolios H. Zeff et al.
64. Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models? A. Piotrowski et al.
65. Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation Y. Tang et al.
66. An efficient framework for hydrologic model calibration on long data periods S. Razavi & B. Tolson
67. Evaluating Autoselection Methods Used for Choosing Solutions from Pareto-Optimal Set: Does Nondominance Persist from Calibration to Validation Phase? G. Dumedah et al.
68. Evaluating multiple performance criteria to calibrate the distributed hydrological model of the upper Neckar catchment T. Wöhling et al.
69. Ensemble Streamflow Forecasting across the U.S. Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS Reforecasts R. Siddique & A. Mejia
70. Toward essential union between evolutionary strategy and data assimilation for model diagnostics: An application for reducing the search space of optimization problems using hydrologic genome map G. Dumedah
71. Catchment Variability and Parameter Estimation in Multi-Objective Regionalisation of a Rainfall–Runoff Model D. Deckers et al.
72. A calibration framework for distributed hydrological models considering spatiotemporal parameter variations Y. Liu et al.
73. Integration of GRACE mass variations into a global hydrological model S. Werth et al.
74. Multi-objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm M. Shafii & F. De Smedt
75. Accurate calibration of hydrological models with evolutionary computation multi-method ensembles E. Lorente-Ramos et al.
76. Two-Objective Design of Benchmark Problems of a Water Distribution System via MOEAs: Towards the Best-Known Approximation of the True Pareto Front Q. Wang et al.
77. Solution of a set of linear inequalities by NSGA-II R. Goyal
78. A new epsilon-dominance hierarchical Bayesian optimization algorithm for large multiobjective monitoring network design problems J. Kollat et al.
79. The value of satellite‐derived snow cover images for calibrating a hydrological model in snow‐dominated catchments in Central Asia D. Duethmann et al.
80. MOMCMC: An efficient Monte Carlo method for multi-objective sampling over real parameter space Y. Li
81. Assimilating multi-site measurements for semi-distributed hydrological model updating J. Chen et al.
82. Design and implementation of a general software library for using NSGA-II with SWAT for multi-objective model calibration M. Ercan & J. Goodall
83. How Hydrologic Processes Differ Spatially in a Large Basin: Multisite and Multiobjective Modeling in the Tarim River Basin G. Fang et al.
84. Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization Y. Chen et al.
85. Asynchronous parallel surrogate optimization aided neural network design with variable evaluation runtime for streamflow and pollutant forecast W. Xia et al.
86. A fast hypervolume driven selection mechanism for many-objective optimisation problems S. Rostami & F. Neri
87. Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem A. Guillén et al.
88. Parameter extrapolation to ungauged basins with a hydrological distributed model in a regional framework J. Vélez et al.
89. Application of a Sampling Based on the Combined Objectives of Parameter Identification and Uncertainty Analysis of an Urban Rainfall-Runoff Model D. Zhao et al.
90. Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization M. Asadzadeh & B. Tolson
91. Reply to comment by Chu et al. on “High‐dimensional posterior exploration of hydrologic models using multiple‐try DREAM (ZS) and high‐performance computing” J. Vrugt & E. Laloy
92. A Framework for Algorithmic Improvement to Mitigate the Effects of Equifinality in the Calibration of High-dimensional Parameters for Hydrological Models X. Tang et al.
93. Evaluation of Model Parameter Convergence when Using Data Assimilation for Soil Moisture Estimation G. Dumedah & J. Walker
94. Confronting tipping points: Can multi-objective evolutionary algorithms discover pollution control tradeoffs given environmental thresholds? V. Ward et al.
95. Enhanced watershed model evaluation incorporating hydrologic signatures and consistency within efficient surrogate multi-objective optimization W. Xia et al.
96. Visual analytics clarify the scalability and effectiveness of massively parallel many-objective optimization: A groundwater monitoring design example P. Reed & J. Kollat
97. Many-objective de Novo water supply portfolio planning under deep uncertainty J. Kasprzyk et al.
98. A WEAP-MODFLOW surface water-groundwater model for the irrigated Miyandoab plain, Urmia lake basin, Iran: Multi-objective calibration and quantification of historical drought impacts A. Dehghanipour et al.
99. Calibration of the Global Flood Awareness System (GloFAS) using daily streamflow data F. Hirpa et al.
100. Issues of experimental design for comparing the performance of hydrologic models R. Clarke
101. A balanced calibration of water quantity and quality by multi-objective optimization for integrated water system model Y. Zhang et al.
102. hydroMOPSO: A flexible and model-independent multi-objective optimisation R package for environmental and hydrological models R. Marinao et al.
103. Cyber-enabled autocalibration of hydrologic models to support Open Science A. Rajib et al.
104. HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts C. Dawson et al.
105. Evaluating forecasting performance for data assimilation methods: The ensemble Kalman filter, the particle filter, and the evolutionary-based assimilation G. Dumedah & P. Coulibaly
106. Toward Improved Calibration of SWAT Using Season-Based Multi-Objective Optimization: a Case Study in the Jinjiang Basin in Southeastern China Y. Chen et al.
107. Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the upper Zambezi Basin W. Gumindoga et al.
108. A multi-objective hierarchical calibration procedure for land surface/ecosystem models C. Varejão et al.
109. Reply to J. Vrugt's comment on "How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?" P. Reed et al.
110. Parameter sensitivity analysis for a biochemically-based photosynthesis model T. Han et al.
111. Parallel Evolutionary Multi-Objective Optimization on Large, Heterogeneous Clusters: An Applications Perspective P. Reed et al.
112. A benchmarking framework for simulation-based optimization of environmental models L. Matott et al.
113. Personalized tourism product design focused on tourist expectations and online reviews: An integrated MCDM method X. Liu et al.
114. Reservoir system expansion scheduling under conflicting interests R. Geressu & J. Harou
115. Toward effective many-objective optimization: Rounded-archiving S. Sahraei et al.
116. Optimal Design of Water Distribution Systems Using Many-Objective Visual Analytics G. Fu et al.
117. Comparing single and multi-objective hydrologic model calibration considering reservoir inflow and streamflow observations J. Bomhof et al.
118. Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization Z. Zhang et al.
119. Optimisation of water treatment works performance using genetic algorithms R. Swan et al.
120. Assessing River Basin Development Given Water‐Energy‐Food‐Environment Interdependencies R. Geressu et al.
121. Value recovery options portfolio optimization for remanufacturing end of life product Z. Jiang et al.
122. Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change T. Karimi et al.
123. Formulation of the Evolutionary-Based Data Assimilation, and its Implementation in Hydrological Forecasting G. Dumedah
124. Multi-Objective Optimization of Low Impact Development Designs in an Urbanizing Watershed G. Zhang et al.
125. Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration W. Qi et al.
126. Extraction and Preference Ordering of Multireservoir Water Supply Rules in Dry Years L. Kang et al.
127. Deep learning for water quality W. Zhi et al.
128. Comparison of different multi-objective calibration criteria using a conceptual rainfall-runoff model of flood events R. Moussa & N. Chahinian
129. Multiobjective training of artificial neural networks for rainfall‐runoff modeling N. de Vos & T. Rientjes
130. Estimating the Risk of River Flow under Climate Change in the Tsengwen River Basin H. Wei et al.