Publications
From Water
Reed Group Google Citations Profile
Contents |
Most Recent
Fernandez, A., Blumsack, S., and Reed, P.M., "Operational Constraints and Hydrologic Variability Limit Hydropower in Supporting Wind Integration." Environmental Research Letters, (In-Press) Online Journal Access.
Woodruff, M., Reed, P.M., and Simpson, T., "Many-Objective Visual Analytics: Rethinking the Design of Complex Engineered Systems." Structural and Multidisciplinary Optimization, (In-Press).
Fu, G., Kapelan, Z., Kasprzyk, J., and Reed, P.M., “Optimal Design of Water Distribution Systems using Many-Objective Visual Analytics.” ASCE Journal of Water Resources Planning & Management, (In-Press).
2013
Hadka, D., and Reed, P.M.,"Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework." Evolutionary Computation, v21, n2, 231-259, 2013.
Herman, J., Reed, P.M., and Wagener, T., "Time-varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior." Water Resources Research, v49, n3, 1400-1414, 2013.
Reed, P. M., and Kollat, J. B., "Visual Analytics Clarify the Scalability and Effectiveness of Massively Parallel Many-Objective Optimization: A Groundwater Monitoring Design Example." Advances in Water Resources, v56, 1-13, 2013.
Kasprzyk, J., Nataraj, S., Reed, P. M., and Lempert, R. J., “Many-Objective Robust Decision Making for Complex Environmental Systems Undergoing Change.” Environmental Modelling & Software, v42, 55-71, 2013.
Nguyen, N., Shortle, J., Reed, P. M., and Nguyen, T., “Water Quality Trading with Asymmetric Information, Uncertainty, and Transaction Costs: A Stochastic Agent-based Simulation.” Resource and Energy Economics, v35, n1, 60-90, 2013.
Reed, P.M., Hadka, D., Herman, J., Kasprzyk, J., and Kollat, J., "Evolutionary Multiobjective Optimization in Water Resources: The Past, Present, and Future." (Editor Invited Submission to 35th Anniversary Special Issue), Advances in Water Resources, v51, 438-456, 2013.
2012
Hadka, D., Reed, P.M., and Simpson, T.W., "Diagnostic Assessment of the Borg MOEA for Many-Objective Product Family Design Problems." IEEE Congress on Evolutionary Computation (CEC 12)as part of World Congress on Computational Intelligence, Brisbane, Australia (2012). PDF
Hadka, D., and Reed, P.M., "Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization.", Evolutionary Computation, v20, n3, 423-452, 2012.
Fu, G., Kapelan, Z., and Reed, P.M., “Reducing the Complexity of Multi-objective Water Distribution System Optimization Through Global Sensitivity Analysis.”, Journal of Water Resources Planning & Management, ASCE Journal of Water Resources Planning & Management, v138, n3, 196-207, 2012.
Fernandez, A., Blumsack, S., and Reed, P. M., “Evaluating Wind-Following and Ecosystem Services for Hydroelectric Dams in PJM.”, Journal of Regulatory Economics, v41, n1, 139-154, 2012.
Reed, P.M., and Kollat, J.B., "Save Now, Pay Later? Multi-Period Many-Objective Groundwater Monitoring Design Given Systematic Model Errors and Uncertainty.", Advances in Water Resources, v35, n1, 55-68, 2012.
Kollat, J.B., Reed, P.M., Wagener, T., "When are Multi-Objective Calibration Tradeoffs in Rainfall-Runoff Models Meaningful?”. Water Resources Research, v48, W03520, March 2012, doi:10.1029/2011WR011534.
Kasprzyk, J. R., Reed, P. M., Kirsch, B. R., and Characklis, G. W., "Many-Objective de Novo Water Supply Portfolio Planning Under Deep Uncertainty." Environmental Modelling & Software, v34,87-104, 2012.
2011
Kollat, J.B., Reed, P.M., and Maxwell, R., “Many-objective Groundwater Monitoring Network Design using Bias-Aware Ensemble Kalman Filtering, Evolutionary Optimization, and Visual Analytics.” Water Resources Research, v47, W02529, doi:10.1029/2010WR009194, 2011.
Shah, R., and Reed, P.M., “Comparative Analysis of Multiobjective Evolutionary Algorithms for Random and Correlated Instances of Multiobjective d-Dimensional Knapsack Problems.”, European Journal of Operational Research, v211, n3, 466-479, 2011.
Shah, R., Reed, P. M., and Simpson, T., "Many-objective Evolutionary Optimization and Visual Analytics for Product Family Design." in Springer-Verlag London Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Editors: Wang, L., Ng, A., and Deb, K., 2011.
2010
Reed, P. M., Bills, B., Anderson, M., Ketchum, B., and Piasecki, M., “The Mid-Atlantic Watershed Atlas (MAWA): Open access data search & watershed-based community building.” Environmental Modelling & Software, v25, n6, 808-812, 2010.
Nicklow, J., Reed, P. M., Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., Karamouz, Minsker, B., Ostfeld, A., Singh, A., and Zechman, E., “State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management.” ASCE Journal of Water Resources Planning & Management, v136, n4, 412-432, 2010.
2009
Kasprzyk, J. R., Reed, P. M., Kirsch, B. R., and Characklis, G. W., “Managing population and drought risks using many-objective water portfolio planning under uncertainty.” Water Resources Research, v45, W12401, doi: 10.1029/2009WR008121, 2009.
Ferringer, M., Spencer, D., and Reed, P. M., "Many-objective Reconfiguration of Operational Satellite Constellations with the Large-Cluster Epsilon Non-dominated Sorting Genetic Algorithm-II." IEEE Congress on Evolutionary Computation (CEC 09), DOI: 10.1109/CEC.2009.4982967, 340-349, 2009.PDF See related video of Reed's Vision for the Future of Earth Observation at European Geophysical Union 2011 Meeting
van Werkhoven, K., Wagener, T., Reed, P. M., and Tang, Y., “Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models.” Advances in Water Resources, v32, n8, pp. 1154-1169, 2009.
Reed, P. M., and Kasprzyk, J. R., “Water Resources Management: The Myth, The Wicked, & The Future.” ASCE Journal of Water Resources Planning & Management, v135, n6, pp. 411-413, 2009.
Wagener, T., Reed, P. M., van Werkhoven, K., Tang, Y. and Zhang, Z., “Advances in the Identification and Evaluation of Complex Environmental Systems Models.” Journal of Hydroinformatics, v11, n3-4, pp. 266-281, 2009.
Bai, Y., Wagener, T., and Reed, P. M., “A Top-Down Framework for Watershed Model Evaluation and Selection under Uncertainty.” Environmental Modelling & Software, v24, n8, 901-916, 2009.
Wagener, T., van Werkhoven, K., Reed, P. M., and Tang, Y., “Multi-objective Sensitivity Analysis to Understand the Information Content in Streamflow Observations for Distributed Watershed Modeling.” Water Resources Research, 45, W02501, doi:10.1029/2008WR007347, 2009.
2008
Kollat, J.B., Reed, P.M., and Rizzo, D., “Addressing Model Bias and Uncertainty in Three Dimensional Groundwater Transport Forecasts for a Physical Aquifer Experiment.” Geophysical Research Letters , 35, L17402, doi:10.1029/2008GL035021, 2008.
Characklis, G. and Reed, P. M., “An Evolving Paradigm for Publication in the Water Resources Management Field.” Journal of Contemporary Water Research & Education,139: 37-39, June 2008.
van Werkhoven, K., Wagener, T., Reed, P. M., and Tang, Y., “Rainfall characteristics define the value of streamflow observations for distributed watershed model identification.” Geophysical Research Letters, 35, L11403, doi:10.1029/2008GL033721, 2008.
Zhang, Z., Wagener, T., Reed, P. M., and Bhushan, R., “Reducing Uncertainty in Predictions in Ungauged Basins by Combining Hydrologic Indices Regionalization and Multiobjective Optimization.” Water Resources Research, 44, W00B04, doi:10.1029/2008WR006833, 2008.
Reed, P. M., Ferringer, M., Thompson, T., and Kollat, J. B., “Parallel Evolutionary Multi-objective Optimization on Large, Heterogeneous Clusters: An Applications Perspective.” Journal of Aerospace Computing, Information, and Communication , 5: pp. 460-478, November 2008.
Kollat, J. B., Reed, P. M., and Kasprzyk, J. R., "A New Epsilon-Dominance Hierarchical Bayesian Optimization Algorithm for Large Multi-Objective Monitoring Network Design Problems, Advances in Water Resources, 31(5): 828-845, 2008.
van Werkhoven, K., Wagener, T., Reed, P. M., and Tang, Y., “Characterization of Watershed Model Behavior Across a Hydroclimatic Gradient.” Water Resources Research, 44, W01429, doi:10.1029/2007WR006271, 2008.
2007
Tang, Y., Reed, P. M., van Werkhoven, K., and Wagener, T., “Advancing the Identification and Evaluation of Distributed Rainfall-Runoff Models Using Global Sensitivity Analysis.” Water Resources Research, 43, W06415, doi:10.1029/2006WR005813, 2007.
Kollat, J. B., and Reed, P. M., “A Framework for Visually Interactive Decision-making and Design using Evolutionary Multiobjective Optimization (VIDEO).” Environmental Modelling & Software, 22(12): pp. 1691-1704, 2007.
Reed, P. M., Tang, Y., and Wagener, T., “Reply on: How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration? by Yong Tang et al.” Hydrology and Earth System Sciences, 11, 1437-1439, 2007. Online Journal Access
Loescher, H.W., Jacobs, J., Wendroth, O., Robinson, D.A. Poulos, G.S., McGuire, K., Reed, P., Mohanty, B., Krajewski, W., “Enhancing Water Cycle Measurements for Future Hydrologic Research.” Bulletin of the American Meteorological Society, DOI: 10.1175/BAMS-88-5, pp. 669-676, 2007.
Tang, Yong, Reed, P. M., Wagener, T., and van Werkhoven, K., "Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation." Hydrology and Earth System Sciences, 11, 793-817, 2007. Online Journal Access
Characklis, G., Reed, P. M., and Minsker, B.S. “The Role of Systems Analysis in NSF’s Environmental Observatories.” Journal of Water Resources Planning & Management, 133(1): pp. 1-3, 2007.
Tang, Yong, Reed, P. M., and Kollat, J. B., “Parallelization Strategies for Rapid and Robust Evolutionary Multiobjective Optimization in Water Resources Applications.” Advances in Water Resources, 30(3): 335-353, 2007.
Kollat, J. B., and Reed, P. M., “A Computational Scaling Analysis of Multiobjective Evolutionary Algorithms in Long-Term Groundwater Monitoring Applications.” Advances in Water Resources, 30(3): 408-419, 2007.
Reed, P. Kollat, J. B., and Devireddy, V., “Using Interactive Archives in Evolutionary Multiobjective Optimization: A Case Study for Long-Term Groundwater Monitoring Design.” Environmental Modelling & Software, 22(5): pp. 683-692, 2007.
2006
Reed, P. M., Brooks, R. B., Davis, K. J., DeWalle, D. R., Dressler, K. A., Duffy, C. J., Lin, H., Miller, D. A., Najjar, R. G., Salvage, K. M., Wagener, T., and Yarnal, B., “Bridging River Basin Scales and Processes to Assess Human-Climate Impacts and the Terrestrial Hydrologic System.” Water Resources Research, 42, W07418: doi:10.1029/2005WR004153, 2006.
Tang, Y., Reed, P.M., and Wagener, T., "How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?" Hydrology and Earth System Science, 10, 289-307, 2006. Online Journal Access
Kollat, J. B., and Reed, P. M., “Comparison of Multi-Objective Evolutionary Algorithms for Long-Term Monitoring Design.” Advances in Water Resources, 29(6): pp. 792-807, 2006.
Earlier
Reed, P., T. Ellsworth, and B.S. Minsker, “Spatial Interpolation Methods for Nonstationary Plume Data. Ground Water, 42(2): pp. 190-202, 2004.
Reed, P. and B.S. Minsker, "Striking the Balance: Long-Term Groundwater Monitoring Design for Conflicting Objectives". Journal of Water Resources Planning and Management, 130(2): pp. 140-149, 2004.
Reed, P., B. S. Minsker, and D. E. Goldberg, “Simplifying Multiobjective Optimization: An Automated Design Methodology for the Nondominated Sorted Genetic Algorithm-II.” Water Resources Research, 39(7): p. 1096, doi:10.1029/2002WR001483, 2002.
Reed, P. M., B. S. Minsker, and D. E. Goldberg, “A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data.” Invited paper, Journal of Hydroinformatics, 3: pp. 71-89, 2001.
Reed, P. M., B. S. Minsker, and A. J. Valocchi. “Cost effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation.” Water Resources Research, 36(12): pp. 3731-3741, 2000.
Reed., P. M., B. S. Minsker, and D. E. Goldberg. “Designing a Competent Simple Genetic Algorithm for Search and Optimization.” Water Resources Research, 36(12): pp. 3757-3761, 2000.
