Direct policy search for robust multi-objective management of deeply uncertain socio-ecological tipping points
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[1] Wouter T. De Groot,et al. More than total economic value: How to combine economic valuation of biodiversity with ecological resilience , 2013 .
[2] Patrick M. Reed,et al. An open source framework for many-objective robust decision making , 2015, Environ. Model. Softw..
[3] S. Carpenter,et al. Early-warning signals for critical transitions , 2009, Nature.
[4] Casey Brown,et al. Decision scaling: Linking bottom‐up vulnerability analysis with climate projections in the water sector , 2012 .
[5] P. Reed,et al. Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty , 2014 .
[6] Nicholas I. Fisher,et al. Bump hunting in high-dimensional data , 1999, Stat. Comput..
[7] Jim W. Hall,et al. Information gap analysis of flood model uncertainties and regional frequency analysis , 2010 .
[8] Joseph Robert Kasprzyk. Many Objective Water Resources Planning and Management Given Deep Uncertainties, Population Pressures, and Environmental Change , 2013 .
[9] Steve Bankes,et al. Exploratory Modeling for Policy Analysis , 1993, Oper. Res..
[10] Robert J. Lempert,et al. Confronting Surprise , 2002 .
[11] Martin Kenneth Starr. Product design and decision theory , 1963 .
[12] Patrick M. Reed,et al. Many-objective robust decision making for managing an ecosystem with a deeply uncertain threshold response , 2015 .
[13] Warren E. Walker,et al. Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world , 2013 .
[14] Patrick M. Reed,et al. Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework , 2013, Evolutionary Computation.
[15] David McInerney,et al. The dynamics of learning about a climate threshold , 2008 .
[16] George Kuczera,et al. Optimizing water supply headworks operating rules under stochastic inputs: Assessment of genetic algorithm performance , 2005 .
[17] Robert J. Lempert,et al. Adapting to Climate Change: Climate prediction: a limit to adaptation? , 2009 .
[18] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[19] Marten Scheffer,et al. Allowing variance may enlarge the safe operating space for exploited ecosystems , 2015, Proceedings of the National Academy of Sciences.
[20] Klaus Keller,et al. Robust Climate Policies Under Uncertainty: A Comparison of Robust Decision Making and Info‐Gap Methods , 2012, Risk analysis : an official publication of the Society for Risk Analysis.
[21] Jacqueline de Chazal,et al. Climate change 2007 : impacts, adaptation and vulnerability : Working Group II contribution to the Fourth Assessment Report of the IPCC Intergovernmental Panel on Climate Change , 2014 .
[22] F. Knight. The economic nature of the firm: From Risk, Uncertainty, and Profit , 2009 .
[23] M. Scheffer,et al. Alternative equilibria in shallow lakes. , 1993, Trends in ecology & evolution.
[24] Casey Brown,et al. Modeling stakeholder‐defined climate risk on the Upper Great Lakes , 2012 .
[25] Joseph R. Kasprzyk,et al. Many objective robust decision making for complex environmental systems undergoing change , 2012, Environ. Model. Softw..
[26] D. H. Marks,et al. A review and evaluation of multiobjective programing techniques , 1975 .
[27] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[28] John M. Anderies,et al. Corrigendum: The topology of non-linear global carbon dynamics: from tipping points to planetary boundaries (2013 Environ. Res. Lett. 8 044048) , 2015 .
[29] Joseph R. Kasprzyk,et al. Evolutionary multiobjective optimization in water resources: The past, present, and future , 2012 .
[30] Andrea Castelletti,et al. Curses, Tradeoffs, and Scalable Management: Advancing Evolutionary Multiobjective Direct Policy Search to Improve Water Reservoir Operations , 2016 .
[31] Andrea Castelletti,et al. A diagnostic assessment of evolutionary algorithms for multi-objective surface water reservoir control , 2016 .
[32] Giorgio Guariso,et al. The Management of Lake Como: A Multiobjective Analysis , 1986 .
[33] Stephen R. Carpenter,et al. Management of eutrophication for lakes subject to potentially irreversible change , 1999 .
[34] Marianne E. Krasny,et al. Civic ecology practices: insights from practice theory , 2015 .
[35] D. Goldberg,et al. Domino convergence, drift, and the temporal-salience structure of problems , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[36] Demetris Koutsoyiannis,et al. Evaluation of the parameterization‐simulation‐optimization approach for the control of reservoir systems , 2003 .
[37] Will Steffen,et al. The topology of non-linear global carbon dynamics: from tipping points to planetary boundaries , 2013 .
[38] Patrick M. Reed,et al. Confronting tipping points: Can multi-objective evolutionary algorithms discover pollution control tradeoffs given environmental thresholds? , 2015, Environ. Model. Softw..
[39] Charles Gide,et al. Cours d'économie politique , 1911 .
[40] S. Solomon,et al. Irreversible climate change due to carbon dioxide emissions , 2009, Proceedings of the National Academy of Sciences.
[41] Marco Laumanns,et al. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.
[42] David G. Groves,et al. A General, Analytic Method for Generating Robust Strategies and Narrative Scenarios , 2006, Manag. Sci..
[43] Andrew G. Barto,et al. Robot Weightlifting By Direct Policy Search , 2001, IJCAI.
[44] Leonard J. Savage,et al. The Theory of Statistical Decision , 1951 .
[45] Yacov Y. Haimes,et al. Multiobjective Decision Making: Theory and Methodology , 1983 .
[46] Warren E. Walker,et al. Coping with the Wickedness of Public Policy Problems: Approaches for Decision Making under Deep Uncertainty , 2016 .
[47] Bing Han,et al. Improving scenario discovery using orthogonal rotations , 2013, Environ. Model. Softw..
[48] Jonathan D. Herman,et al. How should robustness be defined for water systems planning under change , 2015 .
[49] R. Bellman,et al. On the “bang-bang” control problem , 1956 .
[50] William D. Nordhaus,et al. The Climate Casino , 2013 .
[51] Benjamin P. Bryant,et al. Thinking Inside the Box: A Participatory, Computer-Assisted Approach to Scenario Discovery , 2010 .
[52] I. Sobola,et al. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .
[53] Gary W. Yohe,et al. Managing the risks of climate thresholds: uncertainties and information needs , 2008 .
[54] A. Saltelli,et al. Making best use of model evaluations to compute sensitivity indices , 2002 .
[55] Bart De Schutter,et al. Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[56] R. Lempert,et al. Identifying and evaluating robust adaptive policy responses to climate change for water management agencies in the American west , 2010 .
[57] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[58] Jan H. Kwakkel,et al. Thresholds, tipping and turning points for sustainability under climate change , 2013 .
[59] Myles T. Collins,et al. Managing the Risk of Uncertain Threshold Responses: Comparison of Robust, Optimum, and Precautionary Approaches , 2007, Risk analysis : an official publication of the Society for Risk Analysis.
[60] Wolfgang Lucht,et al. Tipping elements in the Earth's climate system , 2008, Proceedings of the National Academy of Sciences.
[61] Timothy M. Lenton,et al. Environmental Tipping Points , 2013 .
[62] Warren E. Walker,et al. Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support , 2003 .
[63] Avi Ostfeld,et al. State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management , 2010 .