Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration
•A framework for dynamically quantifying algorithm parameter impacts is developed.•Interactions among parameters have significant influence on algorithm performance.•Reflection parameter of SCE-UA can be more influential than complex number. It is widely recognized that optimization algorithm parame...
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| Published in: | Journal of hydrology (Amsterdam) Vol. 533; pp. 213 - 223 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.02.2016
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| ISSN: | 0022-1694, 1879-2707 |
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| Abstract | •A framework for dynamically quantifying algorithm parameter impacts is developed.•Interactions among parameters have significant influence on algorithm performance.•Reflection parameter of SCE-UA can be more influential than complex number.
It is widely recognized that optimization algorithm parameters have significant impacts on algorithm performance, but quantifying the influence is very complex and difficult due to high computational demands and dynamic nature of search parameters. The overall aim of this paper is to develop a global sensitivity analysis based framework to dynamically quantify the individual and interactive influence of algorithm parameters on algorithm performance. A variance decomposition sensitivity analysis method, Analysis of Variance (ANOVA), is used for sensitivity quantification, because it is capable of handling small samples and more computationally efficient compared with other approaches. The Shuffled Complex Evolution method developed at the University of Arizona algorithm (SCE-UA) is selected as an optimization algorithm for investigation, and two criteria, i.e., convergence speed and success rate, are used to measure the performance of SCE-UA. Results show the proposed framework can effectively reveal the dynamic sensitivity of algorithm parameters in the search processes, including individual influences of parameters and their interactive impacts. Interactions between algorithm parameters have significant impacts on SCE-UA performance, which has not been reported in previous research. The proposed framework provides a means to understand the dynamics of algorithm parameter influence, and highlights the significance of considering interactive parameter influence to improve algorithm performance in the search processes. |
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| AbstractList | It is widely recognized that optimization algorithm parameters have significant impacts on algorithm performance, but quantifying the influence is very complex and difficult due to high computational demands and dynamic nature of search parameters. The overall aim of this paper is to develop a global sensitivity analysis based framework to dynamically quantify the individual and interactive influence of algorithm parameters on algorithm performance. A variance decomposition sensitivity analysis method, Analysis of Variance (ANOVA), is used for sensitivity quantification, because it is capable of handling small samples and more computationally efficient compared with other approaches. The Shuffled Complex Evolution method developed at the University of Arizona algorithm (SCE-UA) is selected as an optimization algorithm for investigation, and two criteria, i.e., convergence speed and success rate, are used to measure the performance of SCE-UA. Results show the proposed framework can effectively reveal the dynamic sensitivity of algorithm parameters in the search processes, including individual influences of parameters and their interactive impacts. Interactions between algorithm parameters have significant impacts on SCE-UA performance, which has not been reported in previous research. The proposed framework provides a means to understand the dynamics of algorithm parameter influence, and highlights the significance of considering interactive parameter influence to improve algorithm performance in the search processes. •A framework for dynamically quantifying algorithm parameter impacts is developed.•Interactions among parameters have significant influence on algorithm performance.•Reflection parameter of SCE-UA can be more influential than complex number. It is widely recognized that optimization algorithm parameters have significant impacts on algorithm performance, but quantifying the influence is very complex and difficult due to high computational demands and dynamic nature of search parameters. The overall aim of this paper is to develop a global sensitivity analysis based framework to dynamically quantify the individual and interactive influence of algorithm parameters on algorithm performance. A variance decomposition sensitivity analysis method, Analysis of Variance (ANOVA), is used for sensitivity quantification, because it is capable of handling small samples and more computationally efficient compared with other approaches. The Shuffled Complex Evolution method developed at the University of Arizona algorithm (SCE-UA) is selected as an optimization algorithm for investigation, and two criteria, i.e., convergence speed and success rate, are used to measure the performance of SCE-UA. Results show the proposed framework can effectively reveal the dynamic sensitivity of algorithm parameters in the search processes, including individual influences of parameters and their interactive impacts. Interactions between algorithm parameters have significant impacts on SCE-UA performance, which has not been reported in previous research. The proposed framework provides a means to understand the dynamics of algorithm parameter influence, and highlights the significance of considering interactive parameter influence to improve algorithm performance in the search processes. |
| Author | Zhang, Chi Qi, Wei Fu, Guangtao Zhou, Huicheng |
| Author_xml | – sequence: 1 givenname: Wei surname: Qi fullname: Qi, Wei organization: School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China – sequence: 2 givenname: Chi surname: Zhang fullname: Zhang, Chi email: czhang@dlut.edu.cn organization: School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China – sequence: 3 givenname: Guangtao surname: Fu fullname: Fu, Guangtao organization: Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences, University of Exeter, North Park Road, Harrison Building, Exeter EX4 4QF, UK – sequence: 4 givenname: Huicheng surname: Zhou fullname: Zhou, Huicheng organization: School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China |
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| Cites_doi | 10.1016/j.asoc.2008.07.001 10.1061/(ASCE)WR.1943-5452.0000171 10.1029/2007WR006429 10.1016/j.jhydrol.2015.07.011 10.5194/hess-10-289-2006 10.1016/j.swevo.2011.02.001 10.1007/BF00939049 10.1029/2010WR009946 10.5194/esd-6-267-2015 10.1109/TCYB.2013.2279211 10.1109/4235.996017 10.1080/02626667909491834 10.1016/S0022-1694(96)03238-6 10.1016/S0022-1694(99)00057-8 10.1029/91WR02985 10.1016/j.advwatres.2009.03.002 10.1016/j.advwatres.2005.07.010 10.1029/92WR02617 10.1175/2009JHM1163.1 10.1002/2014WR015549 10.1016/j.jhydrol.2008.05.007 10.1007/BF00939380 10.1007/s12293-011-0058-7 10.1016/j.cageo.2004.11.001 10.1007/s10898-004-9972-2 10.1093/comjnl/7.4.308 10.1002/hyp.3360060305 10.1016/S0022-1694(01)00421-8 10.1109/TCYB.2013.2282491 10.1162/EVCO_a_00148 10.1029/1998WR900058 10.1029/2010WR009947 10.1029/2005WR004723 10.1080/0305215X.2012.748046 10.1016/j.amc.2006.10.047 10.1109/TEVC.2014.2308294 10.1029/2008WR006862 10.1029/2011WR011533 10.5194/hess-17-619-2013 10.1016/j.pce.2008.03.003 10.1162/EVCO_a_00053 10.1002/hyp.7152 10.5194/hessd-12-1729-2015 10.1029/2008WR007673 10.1016/S0378-4754(00)00270-6 10.1002/wrcr.20124 10.1016/0022-1694(94)90057-4 10.1109/TNNLS.2014.2350957 10.1002/hyp.7543 10.5194/hess-17-2305-2013 10.1061/(ASCE)HE.1943-5584.0000938 |
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| References | Qi, Zhang, Chu, Zhou (b0200) 2013; 1 Hadka, Reed (b0155) 2011; 20 Bouilloud, Chancibault, Vincendon, Ducrocq, Habets, Saulnier, Anquetin, Martin, Noilhan (b0070) 2010; 11 Wu, Rozycki, Wilamowski (b0280) 2015; 26 Hossain, Anagnostou (b0170) 2005; 31 Giorgos, Mark, Eiben (b0140) 2015; 19 Beven, Freer (b0050) 2001; 249 van Werkhoven, Wagener, Reed, Tang (b0270) 2009; 32 Tang, Reed, Wagener (b0245) 2006; 10 Garambois, Roux, Larnier, Castaings, Dartus (b0135) 2013; 17 Duan, Sorooshian, Gupta (b0105) 1992; 28 Beven, Binley (b0045) 1992; 6 Herman, Reed, Wagener (b0160) 2013; 49 Sorooshian, Duan, Gupta (b0240) 1993; 29 Bosshard, Carambia, Goergen, Kotlarski, Krahe, Zappa, Schär (b0065) 2013; 49 Chao, Ru-bin, Qing-xiang (b0080) 2015; 2015 Pfannerstill, Guse, Reusser, Fohrer (b0190) 2015; 12 Reusser, Buytaert, Zehe (b0210) 2011; 47 Yu, Shen, Chen, Zhan, Gong, Lin, Liu, Zhang (b0285) 2014; 44 Addor, Rössler, Köplin, Huss, Weingartner, Seibert (b0005) 2014; 50 Beven, Kirkby (b0055) 1979; 24 Eiben, Smit (b0115) 2011; 1 Reusser, Zehe (b0215) 2011; 47 Ali, Khompatraporn, Zabinsky (b0010) 2005; 31 Bäck (b0025) 1996 Thyer, Kuczera, Bates (b0250) 1999; 35 Tolson, Asadzadeh, Maier, Zecchin (b0255) 2009; 45 Holland (b0165) 1975 Gao, Yen, Liu (b0130) 2014; 44 Rui, Maszatul, Robin, Peter (b0225) 2015 Kollat, Reed (b0175) 2006; 29 Arsenault, Poulin, Côté, Brissette (b0015) 2014; 19 Qi, Zhang, Fu, Zhou (b0205) 2015; 528 Tolson, Shoemaker (b0265) 2008; 44 Goldman, Punch (b0150) 2015; 23 Deep, Thakur (b0095) 2007; 188 Asadzadeh, Tolson (b0020) 2013; 45 Deb, Pratap, Agarwal, Meyarivan (b0090) 2002; 6 Duan, Gupta, Sorooshian (b0100) 1993; 73 Giuntoli, Vidal, Prudhomme, Hannah (b0145) 2015; 6 Behrangi, Khakbaz, Vrugt, Duan, Sorooshian (b0035) 2008; 44 Fu, Kapelan, Reed (b0120) 2012; 138 Nelder, Mead (b0185) 1965; 7 Wang, Yu, Yang (b0275) 2010; 24 Zhang, Srinivasan, Zhao, Liew (b0290) 2008; 23 Cameron, Beven, Tawn, Blazkova, Naden (b0075) 1999; 219 Köplin, Schädler, Viviroli, Weingartner (b0180) 2013; 17 Bastola, Ishidaira, Takeuchi (b0030) 2008; 357 Blazkova, Beven (b0060) 1997; 195 Chia, Goh, Tan, Shim (b0085) 2011; 3 Price (b0195) 1987; 55 Gallart, Latron, Llorens, Beven (b0125) 2008; 33 Sandip, Rajeev, Chakrabarti (b0230) 2009; 9 Duan, Sorooshian, Gupta (b0110) 1994; 158 Tolson, Shoemaker (b0260) 2007; 43 Behrangi, Khakbaz, Vrugt, Duan, Sorooshian (b0040) 2008; 44 Rolf (b0220) 1982 Sobol (b0235) 2001; 55 Price (10.1016/j.jhydrol.2015.11.052_b0195) 1987; 55 Tolson (10.1016/j.jhydrol.2015.11.052_b0260) 2007; 43 Giuntoli (10.1016/j.jhydrol.2015.11.052_b0145) 2015; 6 Zhang (10.1016/j.jhydrol.2015.11.052_b0290) 2008; 23 Wang (10.1016/j.jhydrol.2015.11.052_b0275) 2010; 24 Gallart (10.1016/j.jhydrol.2015.11.052_b0125) 2008; 33 Sorooshian (10.1016/j.jhydrol.2015.11.052_b0240) 1993; 29 Duan (10.1016/j.jhydrol.2015.11.052_b0100) 1993; 73 Bastola (10.1016/j.jhydrol.2015.11.052_b0030) 2008; 357 Beven (10.1016/j.jhydrol.2015.11.052_b0055) 1979; 24 Herman (10.1016/j.jhydrol.2015.11.052_b0160) 2013; 49 Hossain (10.1016/j.jhydrol.2015.11.052_b0170) 2005; 31 Behrangi (10.1016/j.jhydrol.2015.11.052_b0035) 2008; 44 Chao (10.1016/j.jhydrol.2015.11.052_b0080) 2015; 2015 Nelder (10.1016/j.jhydrol.2015.11.052_b0185) 1965; 7 Deep (10.1016/j.jhydrol.2015.11.052_b0095) 2007; 188 Sobol (10.1016/j.jhydrol.2015.11.052_b0235) 2001; 55 Beven (10.1016/j.jhydrol.2015.11.052_b0050) 2001; 249 Gao (10.1016/j.jhydrol.2015.11.052_b0130) 2014; 44 Cameron (10.1016/j.jhydrol.2015.11.052_b0075) 1999; 219 Blazkova (10.1016/j.jhydrol.2015.11.052_b0060) 1997; 195 Kollat (10.1016/j.jhydrol.2015.11.052_b0175) 2006; 29 Bouilloud (10.1016/j.jhydrol.2015.11.052_b0070) 2010; 11 Deb (10.1016/j.jhydrol.2015.11.052_b0090) 2002; 6 van Werkhoven (10.1016/j.jhydrol.2015.11.052_b0270) 2009; 32 Holland (10.1016/j.jhydrol.2015.11.052_b0165) 1975 Qi (10.1016/j.jhydrol.2015.11.052_b0205) 2015; 528 Thyer (10.1016/j.jhydrol.2015.11.052_b0250) 1999; 35 Yu (10.1016/j.jhydrol.2015.11.052_b0285) 2014; 44 Arsenault (10.1016/j.jhydrol.2015.11.052_b0015) 2014; 19 Wu (10.1016/j.jhydrol.2015.11.052_b0280) 2015; 26 Chia (10.1016/j.jhydrol.2015.11.052_b0085) 2011; 3 Duan (10.1016/j.jhydrol.2015.11.052_b0105) 1992; 28 Pfannerstill (10.1016/j.jhydrol.2015.11.052_b0190) 2015; 12 Tolson (10.1016/j.jhydrol.2015.11.052_b0255) 2009; 45 Tolson (10.1016/j.jhydrol.2015.11.052_b0265) 2008; 44 Garambois (10.1016/j.jhydrol.2015.11.052_b0135) 2013; 17 Reusser (10.1016/j.jhydrol.2015.11.052_b0215) 2011; 47 Eiben (10.1016/j.jhydrol.2015.11.052_b0115) 2011; 1 Rolf (10.1016/j.jhydrol.2015.11.052_b0220) 1982 Ali (10.1016/j.jhydrol.2015.11.052_b0010) 2005; 31 Rui (10.1016/j.jhydrol.2015.11.052_b0225) 2015 Asadzadeh (10.1016/j.jhydrol.2015.11.052_b0020) 2013; 45 Beven (10.1016/j.jhydrol.2015.11.052_b0045) 1992; 6 Fu (10.1016/j.jhydrol.2015.11.052_b0120) 2012; 138 Behrangi (10.1016/j.jhydrol.2015.11.052_b0040) 2008; 44 Bäck (10.1016/j.jhydrol.2015.11.052_b0025) 1996 Reusser (10.1016/j.jhydrol.2015.11.052_b0210) 2011; 47 Sandip (10.1016/j.jhydrol.2015.11.052_b0230) 2009; 9 Bosshard (10.1016/j.jhydrol.2015.11.052_b0065) 2013; 49 Qi (10.1016/j.jhydrol.2015.11.052_b0200) 2013; 1 Goldman (10.1016/j.jhydrol.2015.11.052_b0150) 2015; 23 Addor (10.1016/j.jhydrol.2015.11.052_b0005) 2014; 50 Duan (10.1016/j.jhydrol.2015.11.052_b0110) 1994; 158 Hadka (10.1016/j.jhydrol.2015.11.052_b0155) 2011; 20 Giorgos (10.1016/j.jhydrol.2015.11.052_b0140) 2015; 19 Köplin (10.1016/j.jhydrol.2015.11.052_b0180) 2013; 17 Tang (10.1016/j.jhydrol.2015.11.052_b0245) 2006; 10 |
| References_xml | – volume: 28 start-page: 1015 year: 1992 end-page: 1031 ident: b0105 article-title: Effective and efficient global optimization for conceptual rainfall–runoff models publication-title: Water Resour. Res. – volume: 17 start-page: 2305 year: 2013 end-page: 2322 ident: b0135 article-title: Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments publication-title: Hydrol. Earth Syst. Sci. – volume: 158 start-page: 265 year: 1994 end-page: 284 ident: b0110 article-title: Optimal use of the SCE-UA global optimization method for calibrating watershed models publication-title: J. Hydrol. – volume: 11 start-page: 315 year: 2010 end-page: 333 ident: b0070 article-title: Coupling the ISBA land surface model and the TOPMODEL hydrological model for mediterranean flash-flood forecasting: description, calibration, and validation publication-title: J. Hydrometeorol. – start-page: 513 year: 1982 end-page: 528 ident: b0220 article-title: Parameter adaptive control algorithms—a tutorial publication-title: Automatica – volume: 1 start-page: 1 year: 2013 end-page: 10 ident: b0200 article-title: Sobol’’s sensitivity analysis for TOPMODEL hydrological model: a case study for the Biliu river basin, China publication-title: J. Hydrol. Environ. Res. – volume: 6 start-page: 267 year: 2015 end-page: 285 ident: b0145 article-title: Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models publication-title: Earth Syst. Dyn. – volume: 12 start-page: 1729 year: 2015 end-page: 1764 ident: b0190 article-title: Temporal parameter sensitivity guided verification of process dynamics publication-title: Hydrol. Earth Syst. Sci. Discuss. – volume: 73 year: 1993 ident: b0100 article-title: Shuffled complex evolution approach for effective and efficient global minimization publication-title: J. Optim. Theory Appl. – volume: 24 start-page: 43 year: 1979 end-page: 69 ident: b0055 article-title: A physically based, variable contributing area model of basin hydrology publication-title: Hydrol. Sci. Bull. – volume: 19 start-page: 1374 year: 2014 end-page: 1384 ident: b0015 article-title: Comparison of stochastic optimization algorithms in hydrological model calibration publication-title: J. Hydrol. Eng. – volume: 32 start-page: 1154 year: 2009 end-page: 1169 ident: b0270 article-title: Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models publication-title: Adv. Water Resour. – volume: 9 start-page: 527 year: 2009 end-page: 540 ident: b0230 article-title: Adaptive parameter control of evolutionary algorithms to improve quality-time trade-off publication-title: Appl. Soft Comput. – volume: 43 start-page: W01413 year: 2007 ident: b0260 article-title: Dynamically dimensioned search algorithm for computationally efficient watershed model calibration publication-title: Water Resour. Res. – volume: 55 year: 1987 ident: b0195 article-title: Global optimization algorithms for a CAD workstation publication-title: J. Optim. Theory Appl. – volume: 219 start-page: 169 year: 1999 end-page: 187 ident: b0075 article-title: Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty) publication-title: J. Hydrol. – volume: 249 start-page: 11 year: 2001 end-page: 29 ident: b0050 article-title: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology publication-title: J. Hydrol. – volume: 49 start-page: 1400 year: 2013 end-page: 1414 ident: b0160 article-title: Time-varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior publication-title: Water Resour. Res. – volume: 357 start-page: 188 year: 2008 end-page: 206 ident: b0030 article-title: Regionalisation of hydrological model parameters under parameter uncertainty: a case study involving TOPMODEL and basins across the globe publication-title: J. Hydrol. – volume: 6 year: 2002 ident: b0090 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. – volume: 26 start-page: 1659 year: 2015 end-page: 1668 ident: b0280 article-title: A hybrid constructive algorithm for single-layer feedforward networks learning publication-title: IEEE Trans. Neural Networks Learning Syst. – volume: 3 start-page: 73 year: 2011 end-page: 87 ident: b0085 article-title: Memetic informed evolutionary optimization via data mining publication-title: Memet. Comput. – volume: 45 start-page: W12416 year: 2009 ident: b0255 article-title: Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization publication-title: Water Resour. Res. – volume: 47 year: 2011 ident: b0215 article-title: Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity publication-title: Water Resour. Res. – volume: 528 start-page: 652 year: 2015 end-page: 667 ident: b0205 article-title: Global Land Data Assimilation System data assessment using a distributed biosphere hydrological model publication-title: J. Hydrol. – volume: 24 start-page: 1015 year: 2010 end-page: 1026 ident: b0275 article-title: Comparison of genetic algorithms and shuffled complex evolution approach for calibrating distributed rainfall–runoff model publication-title: Hydrol. Process. – volume: 35 start-page: 767 year: 1999 end-page: 773 ident: b0250 article-title: Probabilistic optimization for conceptual rainfall–runoff models: a comparison of the shuffled complex evolution and simulated annealing algorithms publication-title: Water Resour. Res. – volume: 44 year: 2008 ident: b0040 article-title: Comment on “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration” by Bryan A. Tolson and Christine A. Shoemaker publication-title: Water Resour. Res. – volume: 44 start-page: 1314 year: 2014 end-page: 1327 ident: b0130 article-title: A cluster-based differential evolution with self-adaptive strategy for multimodal optimization publication-title: IEEE Trans. Cybernetics – volume: 45 start-page: 1489 year: 2013 end-page: 1509 ident: b0020 article-title: Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization publication-title: Eng. Optimization – volume: 10 start-page: 289 year: 2006 end-page: 307 ident: b0245 article-title: How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration? publication-title: Hydrol. Earth Syst. Sci. – volume: 44 start-page: 1080 year: 2014 end-page: 1099 ident: b0285 article-title: Differential evolution with two-level parameter adaptation publication-title: IEEE Trans. Cybernetics – volume: 31 start-page: 497 year: 2005 end-page: 512 ident: b0170 article-title: Assessment of a stochastic interpolation based parameter sampling scheme for efficient uncertainty analyses of hydrologic models publication-title: Comput. Geosci. – volume: 55 start-page: 271 year: 2001 end-page: 280 ident: b0235 article-title: Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates publication-title: Math. Comput. Simul. – volume: 29 start-page: 1185 year: 1993 end-page: 1194 ident: b0240 article-title: Calibration of rainfall–runoff models: application of global optimization to the Sacramento Soil Moisture Accounting Model publication-title: Water Resour. Res. – volume: 188 start-page: 895 year: 2007 end-page: 911 ident: b0095 article-title: A new crossover operator for real coded genetic algorithms publication-title: Appl. Math. Comput. – volume: 49 start-page: 1523 year: 2013 end-page: 1536 ident: b0065 article-title: Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections publication-title: Water Resour. Res. – volume: 29 start-page: 792 year: 2006 end-page: 807 ident: b0175 article-title: Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design publication-title: Adv. Water Resour. – volume: 44 year: 2008 ident: b0265 article-title: Reply to comment on “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration” by Ali Behrangi et al. publication-title: Water Resour. Res. – volume: 23 start-page: 430 year: 2008 end-page: 441 ident: b0290 article-title: Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model publication-title: Hydrol. Process. – volume: 1 start-page: 19 year: 2011 end-page: 31 ident: b0115 article-title: Parameter tuning for configuring and analyzing evolutionary algorithms publication-title: Swarm Evolut. Comput. – volume: 2015 year: 2015 ident: b0080 article-title: Calibration of conceptual rainfall–runoff models using global optimization publication-title: Adv. Meteorol. – volume: 7 year: 1965 ident: b0185 article-title: A simplex method for function minimization publication-title: Comput. J. – year: 1996 ident: b0025 article-title: Evolutionary Algorithms in Theory and Practice. Evolution Strategies, Evolutionary Programming, Genetic Algorithms – volume: 195 start-page: 256 year: 1997 end-page: 278 ident: b0060 article-title: Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL publication-title: J. Hydrol. – volume: 6 start-page: 279 year: 1992 end-page: 298 ident: b0045 article-title: The future of distributed models: model calibration and uncertainty prediction publication-title: Hydrol. Process. – volume: 50 start-page: 7541 year: 2014 end-page: 7562 ident: b0005 article-title: Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments publication-title: Water Resour. Res. – volume: 47 start-page: W07551 year: 2011 ident: b0210 article-title: Temporal dynamics of model parameter sensitivity for computationally expensive models with the Fourier amplitude sensitivity test publication-title: Water Resour. Res. – start-page: 1 year: 2015 end-page: 14 ident: b0225 article-title: An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms publication-title: Int. J. Syst. Sci. – volume: 33 start-page: 1090 year: 2008 end-page: 1094 ident: b0125 article-title: Upscaling discrete internal observations for obtaining catchment-averaged TOPMODEL parameters in a small Mediterranean mountain basin publication-title: Phys. Chem. Earth – volume: 17 start-page: 619 year: 2013 end-page: 635 ident: b0180 article-title: The importance of glacier and forest change in hydrological climate-impact studies publication-title: Hydrol. Earth Syst. Sci. – volume: 44 start-page: W12603 year: 2008 ident: b0035 article-title: Comment on “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration” by Bryan A. Tolson and Christine A. Shoemaker publication-title: Water Resour. Res. – volume: 138 start-page: 196 year: 2012 end-page: 207 ident: b0120 article-title: Reducing the complexity of multiobjective water distribution system optimization through global sensitivity analysis publication-title: J. Water Resour. Plan. Manage. – volume: 19 start-page: 167 year: 2015 end-page: 187 ident: b0140 article-title: Parameter control in evolutionary algorithms: trends and challenges publication-title: IEEE Trans. Evol. Comput. – volume: 23 start-page: 451 year: 2015 end-page: 479 ident: b0150 article-title: Fast and efficient black box optimization using the parameter-less population pyramid publication-title: Evolut. Comput. – volume: 31 start-page: 635 year: 2005 end-page: 672 ident: b0010 article-title: A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems publication-title: J. Global Optim. – year: 1975 ident: b0165 article-title: Adaptation in Natural and Artificial Systems – volume: 20 start-page: 423 year: 2011 end-page: 452 ident: b0155 article-title: Diagnostic assessment of search controls and failure modes in many-objective evolutionary optimization publication-title: Evolut. Comput. – start-page: 1 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0225 article-title: An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms publication-title: Int. J. Syst. Sci. – volume: 9 start-page: 527 issue: 2 year: 2009 ident: 10.1016/j.jhydrol.2015.11.052_b0230 article-title: Adaptive parameter control of evolutionary algorithms to improve quality-time trade-off publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2008.07.001 – volume: 138 start-page: 196 issue: 3 year: 2012 ident: 10.1016/j.jhydrol.2015.11.052_b0120 article-title: Reducing the complexity of multiobjective water distribution system optimization through global sensitivity analysis publication-title: J. Water Resour. Plan. Manage. doi: 10.1061/(ASCE)WR.1943-5452.0000171 – volume: 44 issue: 12 year: 2008 ident: 10.1016/j.jhydrol.2015.11.052_b0040 article-title: Comment on “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration” by Bryan A. Tolson and Christine A. Shoemaker publication-title: Water Resour. Res. doi: 10.1029/2007WR006429 – volume: 528 start-page: 652 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0205 article-title: Global Land Data Assimilation System data assessment using a distributed biosphere hydrological model publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2015.07.011 – volume: 10 start-page: 289 issue: 2 year: 2006 ident: 10.1016/j.jhydrol.2015.11.052_b0245 article-title: How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration? publication-title: Hydrol. Earth Syst. Sci. doi: 10.5194/hess-10-289-2006 – volume: 1 start-page: 19 issue: 1 year: 2011 ident: 10.1016/j.jhydrol.2015.11.052_b0115 article-title: Parameter tuning for configuring and analyzing evolutionary algorithms publication-title: Swarm Evolut. Comput. doi: 10.1016/j.swevo.2011.02.001 – volume: 55 issue: 1 year: 1987 ident: 10.1016/j.jhydrol.2015.11.052_b0195 article-title: Global optimization algorithms for a CAD workstation publication-title: J. Optim. Theory Appl. doi: 10.1007/BF00939049 – volume: 47 year: 2011 ident: 10.1016/j.jhydrol.2015.11.052_b0215 article-title: Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity publication-title: Water Resour. Res. doi: 10.1029/2010WR009946 – volume: 6 start-page: 267 issue: 1 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0145 article-title: Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models publication-title: Earth Syst. Dyn. doi: 10.5194/esd-6-267-2015 – volume: 44 start-page: 1080 issue: 7 year: 2014 ident: 10.1016/j.jhydrol.2015.11.052_b0285 article-title: Differential evolution with two-level parameter adaptation publication-title: IEEE Trans. Cybernetics doi: 10.1109/TCYB.2013.2279211 – volume: 6 issue: 2 year: 2002 ident: 10.1016/j.jhydrol.2015.11.052_b0090 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – volume: 24 start-page: 43 issue: 1 year: 1979 ident: 10.1016/j.jhydrol.2015.11.052_b0055 article-title: A physically based, variable contributing area model of basin hydrology publication-title: Hydrol. Sci. Bull. doi: 10.1080/02626667909491834 – volume: 195 start-page: 256 issue: 1–4 year: 1997 ident: 10.1016/j.jhydrol.2015.11.052_b0060 article-title: Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL publication-title: J. Hydrol. doi: 10.1016/S0022-1694(96)03238-6 – volume: 219 start-page: 169 issue: 3–4 year: 1999 ident: 10.1016/j.jhydrol.2015.11.052_b0075 article-title: Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty) publication-title: J. Hydrol. doi: 10.1016/S0022-1694(99)00057-8 – volume: 28 start-page: 1015 issue: 4 year: 1992 ident: 10.1016/j.jhydrol.2015.11.052_b0105 article-title: Effective and efficient global optimization for conceptual rainfall–runoff models publication-title: Water Resour. Res. doi: 10.1029/91WR02985 – year: 1996 ident: 10.1016/j.jhydrol.2015.11.052_b0025 – volume: 32 start-page: 1154 issue: 8 year: 2009 ident: 10.1016/j.jhydrol.2015.11.052_b0270 article-title: Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models publication-title: Adv. Water Resour. doi: 10.1016/j.advwatres.2009.03.002 – volume: 29 start-page: 792 issue: 6 year: 2006 ident: 10.1016/j.jhydrol.2015.11.052_b0175 article-title: Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design publication-title: Adv. Water Resour. doi: 10.1016/j.advwatres.2005.07.010 – volume: 29 start-page: 1185 issue: 4 year: 1993 ident: 10.1016/j.jhydrol.2015.11.052_b0240 article-title: Calibration of rainfall–runoff models: application of global optimization to the Sacramento Soil Moisture Accounting Model publication-title: Water Resour. Res. doi: 10.1029/92WR02617 – volume: 11 start-page: 315 issue: 2 year: 2010 ident: 10.1016/j.jhydrol.2015.11.052_b0070 article-title: Coupling the ISBA land surface model and the TOPMODEL hydrological model for mediterranean flash-flood forecasting: description, calibration, and validation publication-title: J. Hydrometeorol. doi: 10.1175/2009JHM1163.1 – volume: 50 start-page: 7541 issue: 10 year: 2014 ident: 10.1016/j.jhydrol.2015.11.052_b0005 article-title: Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments publication-title: Water Resour. Res. doi: 10.1002/2014WR015549 – volume: 357 start-page: 188 issue: 3–4 year: 2008 ident: 10.1016/j.jhydrol.2015.11.052_b0030 article-title: Regionalisation of hydrological model parameters under parameter uncertainty: a case study involving TOPMODEL and basins across the globe publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2008.05.007 – volume: 73 issue: 3 year: 1993 ident: 10.1016/j.jhydrol.2015.11.052_b0100 article-title: Shuffled complex evolution approach for effective and efficient global minimization publication-title: J. Optim. Theory Appl. doi: 10.1007/BF00939380 – volume: 3 start-page: 73 issue: 2 year: 2011 ident: 10.1016/j.jhydrol.2015.11.052_b0085 article-title: Memetic informed evolutionary optimization via data mining publication-title: Memet. Comput. doi: 10.1007/s12293-011-0058-7 – volume: 31 start-page: 497 issue: 4 year: 2005 ident: 10.1016/j.jhydrol.2015.11.052_b0170 article-title: Assessment of a stochastic interpolation based parameter sampling scheme for efficient uncertainty analyses of hydrologic models publication-title: Comput. Geosci. doi: 10.1016/j.cageo.2004.11.001 – volume: 31 start-page: 635 issue: 4 year: 2005 ident: 10.1016/j.jhydrol.2015.11.052_b0010 article-title: A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems publication-title: J. Global Optim. doi: 10.1007/s10898-004-9972-2 – volume: 7 issue: 4 year: 1965 ident: 10.1016/j.jhydrol.2015.11.052_b0185 article-title: A simplex method for function minimization publication-title: Comput. J. doi: 10.1093/comjnl/7.4.308 – volume: 6 start-page: 279 issue: 3 year: 1992 ident: 10.1016/j.jhydrol.2015.11.052_b0045 article-title: The future of distributed models: model calibration and uncertainty prediction publication-title: Hydrol. Process. doi: 10.1002/hyp.3360060305 – volume: 249 start-page: 11 issue: 1–4 year: 2001 ident: 10.1016/j.jhydrol.2015.11.052_b0050 article-title: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology publication-title: J. Hydrol. doi: 10.1016/S0022-1694(01)00421-8 – volume: 44 start-page: 1314 issue: 8 year: 2014 ident: 10.1016/j.jhydrol.2015.11.052_b0130 article-title: A cluster-based differential evolution with self-adaptive strategy for multimodal optimization publication-title: IEEE Trans. Cybernetics doi: 10.1109/TCYB.2013.2282491 – volume: 23 start-page: 451 issue: 3 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0150 article-title: Fast and efficient black box optimization using the parameter-less population pyramid publication-title: Evolut. Comput. doi: 10.1162/EVCO_a_00148 – volume: 35 start-page: 767 issue: 3 year: 1999 ident: 10.1016/j.jhydrol.2015.11.052_b0250 article-title: Probabilistic optimization for conceptual rainfall–runoff models: a comparison of the shuffled complex evolution and simulated annealing algorithms publication-title: Water Resour. Res. doi: 10.1029/1998WR900058 – volume: 47 start-page: W07551 year: 2011 ident: 10.1016/j.jhydrol.2015.11.052_b0210 article-title: Temporal dynamics of model parameter sensitivity for computationally expensive models with the Fourier amplitude sensitivity test publication-title: Water Resour. Res. doi: 10.1029/2010WR009947 – volume: 43 start-page: W01413 issue: 1 year: 2007 ident: 10.1016/j.jhydrol.2015.11.052_b0260 article-title: Dynamically dimensioned search algorithm for computationally efficient watershed model calibration publication-title: Water Resour. Res. doi: 10.1029/2005WR004723 – volume: 1 start-page: 1 year: 2013 ident: 10.1016/j.jhydrol.2015.11.052_b0200 article-title: Sobol’’s sensitivity analysis for TOPMODEL hydrological model: a case study for the Biliu river basin, China publication-title: J. Hydrol. Environ. Res. – volume: 45 start-page: 1489 issue: 12 year: 2013 ident: 10.1016/j.jhydrol.2015.11.052_b0020 article-title: Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization publication-title: Eng. Optimization doi: 10.1080/0305215X.2012.748046 – volume: 188 start-page: 895 issue: 1 year: 2007 ident: 10.1016/j.jhydrol.2015.11.052_b0095 article-title: A new crossover operator for real coded genetic algorithms publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2006.10.047 – volume: 19 start-page: 167 issue: 2 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0140 article-title: Parameter control in evolutionary algorithms: trends and challenges publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2014.2308294 – volume: 44 issue: 12 year: 2008 ident: 10.1016/j.jhydrol.2015.11.052_b0265 article-title: Reply to comment on “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration” by Ali Behrangi et al. publication-title: Water Resour. Res. doi: 10.1029/2008WR006862 – volume: 49 start-page: 1523 issue: 3 year: 2013 ident: 10.1016/j.jhydrol.2015.11.052_b0065 article-title: Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections publication-title: Water Resour. Res. doi: 10.1029/2011WR011533 – volume: 17 start-page: 619 issue: 2 year: 2013 ident: 10.1016/j.jhydrol.2015.11.052_b0180 article-title: The importance of glacier and forest change in hydrological climate-impact studies publication-title: Hydrol. Earth Syst. Sci. doi: 10.5194/hess-17-619-2013 – volume: 33 start-page: 1090 issue: 17–18 year: 2008 ident: 10.1016/j.jhydrol.2015.11.052_b0125 article-title: Upscaling discrete internal observations for obtaining catchment-averaged TOPMODEL parameters in a small Mediterranean mountain basin publication-title: Phys. Chem. Earth doi: 10.1016/j.pce.2008.03.003 – volume: 20 start-page: 423 issue: 3 year: 2011 ident: 10.1016/j.jhydrol.2015.11.052_b0155 article-title: Diagnostic assessment of search controls and failure modes in many-objective evolutionary optimization publication-title: Evolut. Comput. doi: 10.1162/EVCO_a_00053 – volume: 23 start-page: 430 issue: 3 year: 2008 ident: 10.1016/j.jhydrol.2015.11.052_b0290 article-title: Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model publication-title: Hydrol. Process. doi: 10.1002/hyp.7152 – volume: 12 start-page: 1729 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0190 article-title: Temporal parameter sensitivity guided verification of process dynamics publication-title: Hydrol. Earth Syst. Sci. Discuss. doi: 10.5194/hessd-12-1729-2015 – volume: 45 start-page: W12416 issue: 12 year: 2009 ident: 10.1016/j.jhydrol.2015.11.052_b0255 article-title: Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization publication-title: Water Resour. Res. doi: 10.1029/2008WR007673 – volume: 55 start-page: 271 issue: 1–3 year: 2001 ident: 10.1016/j.jhydrol.2015.11.052_b0235 article-title: Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates publication-title: Math. Comput. Simul. doi: 10.1016/S0378-4754(00)00270-6 – volume: 49 start-page: 1400 year: 2013 ident: 10.1016/j.jhydrol.2015.11.052_b0160 article-title: Time-varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior publication-title: Water Resour. Res. doi: 10.1002/wrcr.20124 – start-page: 513 year: 1982 ident: 10.1016/j.jhydrol.2015.11.052_b0220 article-title: Parameter adaptive control algorithms—a tutorial publication-title: Automatica – volume: 158 start-page: 265 issue: 3–4 year: 1994 ident: 10.1016/j.jhydrol.2015.11.052_b0110 article-title: Optimal use of the SCE-UA global optimization method for calibrating watershed models publication-title: J. Hydrol. doi: 10.1016/0022-1694(94)90057-4 – volume: 44 start-page: W12603 issue: 12 year: 2008 ident: 10.1016/j.jhydrol.2015.11.052_b0035 article-title: Comment on “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration” by Bryan A. Tolson and Christine A. Shoemaker publication-title: Water Resour. Res. doi: 10.1029/2007WR006429 – volume: 26 start-page: 1659 issue: 8 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0280 article-title: A hybrid constructive algorithm for single-layer feedforward networks learning publication-title: IEEE Trans. Neural Networks Learning Syst. doi: 10.1109/TNNLS.2014.2350957 – year: 1975 ident: 10.1016/j.jhydrol.2015.11.052_b0165 – volume: 24 start-page: 1015 issue: 8 year: 2010 ident: 10.1016/j.jhydrol.2015.11.052_b0275 article-title: Comparison of genetic algorithms and shuffled complex evolution approach for calibrating distributed rainfall–runoff model publication-title: Hydrol. Process. doi: 10.1002/hyp.7543 – volume: 2015 year: 2015 ident: 10.1016/j.jhydrol.2015.11.052_b0080 article-title: Calibration of conceptual rainfall–runoff models using global optimization publication-title: Adv. Meteorol. – volume: 17 start-page: 2305 year: 2013 ident: 10.1016/j.jhydrol.2015.11.052_b0135 article-title: Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments publication-title: Hydrol. Earth Syst. Sci. doi: 10.5194/hess-17-2305-2013 – volume: 19 start-page: 1374 issue: 7 year: 2014 ident: 10.1016/j.jhydrol.2015.11.052_b0015 article-title: Comparison of stochastic optimization algorithms in hydrological model calibration publication-title: J. Hydrol. Eng. doi: 10.1061/(ASCE)HE.1943-5584.0000938 |
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