Publications

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  1. Armstrong, K., Zhong, Y., Bhide, S., Grant, S., Birkland, T., Berglund, E.Z. (2024). Simulating the Emergence of Institutions that Reverse Freshwater Salinization: An Agent-based Modeling Approach. Journal of Hydrology X, 100188.
  2. Koyama, Y., Fasaee, M.A.K., Berglund, E.A., Knappe, E. (2024). Machine Learning Models to Predict Early Breakthrough of Recalcitrant Organic Micropollutants in Granular Activated Carbon Adsorbers. Environmental Science & Technology, doi/10.1021/acs.est.4c01316.
  3. Alghamdi, F., Edwards, E., Berglund, E.Z. (2024). Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data. Water Resources Research, 60(9), e2023WR035246.
  4. Pesantez, J., Vizanko, B., Berglund, E.Z. (2024). Modeling a game to shift peak water demands: WaterTime leaderboard. Journal of Cleaner Production, 470(10), 143241.
  5. Giang, A., Edwards, M., Fletcher, S., Gardner-Frolick, R., Gryba, R., Mathias, J.-D., Vernier, C., Anderies, J., Berglund, E., Carley, S., Erickson, J., Grubert, E., Hadjimichael, A., Hill, J., Mayfield, E., Nock, D., Kivvaq Pikok, K., Saari, R., Mateo Samudio Lezcano, C., Siddiqi, A., Skerker, J., Tessum, C. (2024). Equity and modeling in sustainability science: examples and opportunities throughout the modeling process. Proceedings of the National Academy of Science, 121(13), e2215688121.
  6. Vizanko, B., Kadinski, L., Cummings, C. Ostfeld, A., Berglund, E.Z.(2024). Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory. Risk Analysis, doi.org/10.1111/risa.14287.
  7. Vizanko, B., Kadinski, L., Ostfeld, A., Berglund, E.Z. (2024). Social distancing, water demand changes, and quality of drinking water during the COVID-19 pandemic. Sustainable Cities and Society, 102, 105210.
  8. Berglund, E.Z., Skarbek, M., Kanta, L. (2023). A sociotechnical framework to characterize tipping points in water supply systems. Sustainable Cities and Society, 97, 104739.
  9. Bolton, E.R., Berglund, E.Z. (2023). Agent-based Modeling to Assess Decentralized Water Systems: Micro-trading Rainwater for Aquifer Recharge. Journal of Hydrology, 618, 129151.
  10. Monroe, J., Bolton, E.R., Berglund, E.Z. (2023). Evaluating Peer-to-Peer Electricity Markets across the U.S. Using an Agent-Based Modeling Approach. Advances in Environmental and Engineering Research, 4(1), 017.
  11. Berglund, E.Z., Shafiee, M.E., Xing, L., and Wen, J. (2023). Forum: Digital Twins for Water Distribution Systems. Journal of Water Resources Planning and Management, 149(3), 02523001.
  12. DiCarlo, M., Berglund, E.Z., Kaza, N., Grieshop, A., Shealy, L., Behr, A. (2023). Customer Complaint Management and Smart Technology Adoption by Community Water Systems. Utilities Policy, 80, 101465.
  13. Grant, S., Rippy, M., Birkland, T., Schenk, T., Rowles, K., Misra, S., Aminpour, P., Kaushal, S., Vikesland, P., Berglund, E., Gomez-Velez, J.D., Hotchkiss, R., Perez, G., Zhang, H., Armstrong, K., Bhide, S., Krauss, L., Maas, C., Mendoza, K., Shipman, C., Zhang, Y., Zhong, Y. (2022). Can Common Pool Resource Theory Catalyze Stakeholder-Driven Solutions to the Freshwater Salinization Syndrome? Environmental Science & Technology, 56(19), 13517–13527.
  14. DiCarlo, M.F., and Berglund, E.Z. (2022). Using Advanced Metering Infrastructure Data to Evaluate Consumer Compliance with Water Advisories during a Water Service Interruption. Water Research, 221, 118802.
  15. Fasaee, M.A.K., Pesantez, J., Pieper, K., Ling, E., Benham, B., Edwards, M., and Berglund, E.Z. (2022). Developing Early Warning Systems to Predict Water Lead Levels in Tap Water for Private Systems. Water Research, 221, 118787.
  16. Kadinski, L., Berglund, E.Z., Ostfeld, A. (2022). An Agent-Based Model for Contamination Response in Water Distribution Systems during the COVID-19 Pandemic. Journal of Water Resources Planning and Management, 148(8), 04022042.
  17. Berglund, E.Z., Buchberger, S., Cunha, M., Faust, K.M., Giacomoni, M., Goharian, E., Kleiner, Y., Lee, J., Ostfeld, A., Pasha, F., Pesantez, J., Saldarriaga, J., Shafiee, E., Spearing, L., van Zyl, J.E., Yang, Y.C.E. (2022). Effects of the COVID-19 Pandemic on Water Utility Operations and Vulnerability. Journal of Water Resources Planning and Management, 148(6), 04022027.
  18. Daniel, I., Pesantez, J., Letzgus, S., Fasaee, M.A.K., Alghamdi, F., Berglund, E., Mahinthakumar, G., Cominola, A. (2022). LILA: A High-resolution Pressure-Driven Algorithm for Leakage Identification and Localization in Water Distribution Networks. Journal of Water Resources Planning and Management, 148(6), 04022025.
  19. Kadinski, L., Salcedo, C., Boccelli, D., Berglund, E.Z., Ostfeld, A. (2022). A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19, Water, 14(7), 1088.
  20. Behr, A., Sciaudone, B., and Berglund, E. (2022). Effectiveness of indicators for assessing the vulnerability of barrier island highways. Transportation Research Part D: Transport and Environment, 105, 103234.
  21. Pesantez, J., Alghamdi, F., Sabu, S., Mahinthakumar, G., Berglund, EZ. (2022). Using a Digital Twin to Explore Water Infrastructure Impacts During the COVID-19 Pandemic. Sustainable Cities and Society, 77, 103520.
  22. Lee, J.M., Taylor, L.O., Berglund, E.Z. (2021). Water Use in the Landscape: A Comparison of Water Quality and Irrigation Technologies on Behavior. Water Resources Research, 57(10), e2020WR028853.
  23. Fasaee, M.A.K., Monghasemi, S., Nikoo, M., Shafiee, M.E., Berglund, E.Z., Bakhtiari, P.H. (2021). A K-Sensor correlation-based evolutionary optimization algorithm to cluster contamination events and place sensors in water distribution systems. Journal of Cleaner Production, 139(15), 128763.
  24. Ramsey, L., Berglund, E.Z. (2021). Developing an Agent-Based Model of Dual-Flush Toilet Adoption. Journal of Water Resources Planning and Management, 147(10), doi.org/10.1061/(ASCE)WR.1943-5452.0001454.
  25. DiCarlo, M.F., Berglund, E.Z. (2021). Connected communities improve hazard response: An agent-based model of social media behaviors during hurricanes. Sustainable Cities and Society, 69, 102836, https://doi.org/10.1016/j.scs.2021.102836.
  26. Berglund, E., Thelemaque, N., Spearing, L., Faust, K., Kaminsky, J., Sela, L., Goharian, E., Abokifa, A., Lee, J., Keck, J., Giacomoni, M., van Zyl, J., Harkness, B., Yang, Y., Cunha, M., Ostfeld, A., Kadinski, L. (2021). Forum: Water and Wastewater Systems and Utilities: Challenges and Opportunities during the COVID-19 Pandemic. Journal of Water Resources Planning and Management, 147(5), 02521001, doi.org/10.1061/(ASCE)WR.1943-5452.0001373
  27. Fasaee, M.A.K., Berglund, E.Z., Pieper, K., Ling, E., Benham, B., Edwards, M. (2021). Developing a Framework for Classifying Water Lead Levels at Private Drinking Water Systems: A Bayesian Belief Network Approach. Water Research, 189(1), 116641, doi.org/10.1016/j.watres.2020.116641.
  28. Grant, S.B., H. Zhang, S.V. Bhide, T. Birkland, E. Berglund, A. Dietrich, J.L. Druhan, M. Edwards, S. Entrekin, J. Gomez-Velez, E. Hester, E.M.V. Hoek, E.R. Hotchkiss, D. Jassby, S.S. Kaushal, P. Kumar, K. Lopez, A. Maile-Moskowitz, K. McGuire, S. Mohanty, E.A. Parker, G. Prelewicz, M.A. Rippy, E.J. Rosenfeldt, T. Schenk, K. Schwabe, & P. Vikesland. (2021). Reversing Freshwater Salinization: A Holistic Approach. Advances in Water Research, The Water Research Foundation, 31(3): 24-29.
  29. Ramsey, E., Pesantez, J.E., Fasaee, M.A.K., DiCarlo, M., Monroe, J., Berglund, E.Z. (2020). A Smart Water Grid for Micro-Trading Rainwater: Hydraulic Feasibility Analysis. Water, 12(11), 3075, doi.org/10.3390/w12113075.
  30. DiCarlo, M.F. and Berglund E.Z. (2020). Use of Social Media to Seek and Provide Help in Hurricanes Florence and Michael. Smart Cities, 3(4), 1187-1218, doi.org/10.3390/smartcities3040059.
  31. Monroe, J.G., Hansen, P., Sorell, M., Berglund, E.Z. (2020). Agent-Based Model of a Blockchain Enabled Peer-to-Peer Energy Market: Application for a Neighborhood Trial in Perth, Australia. Smart Cities, 3(3), 1072-1099, doi.org/10.3390/smartcities3030053.
  32. Berglund, E.Z., Pesantez, J., Rasekh, A., Shafiee, M.E., Sela, L., and Haxton, T. (2020). State-of-the-Art Review: Review of Modeling Methodologies for Managing Water Distribution Security, Journal of Water Resources Planning and Management, 146(8), doi.org/10.1061/(ASCE)WR.1943-5452.0001265.
  33. Pesantez, J., Berglund, E.Z., and Mahinthakumar, G. (2020). Geospatial and Hydraulic Simulation to Design District Metered Areas for Large Water Distribution Networks, Journal of Water Resources Planning and Management, 146(7), doi.org/10.1061/(ASCE)WR.1943-5452.0001243.
  34. Berglund, E.Z., Monroe, J.G., Ahmed, I., Noghabaei, M., Pesantez, J.E., Khaksar Fasaee, M.A., Bardaka, E., Han, K., Proestos, G., and Levis, J. (2020). State-of-the-Art Review: Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities, Journal of Infrastructure Systems, doi.org/10.1061/(ASCE)IS.1943-555X.0000549.
  35. Pesantez, J., Berglund, E.Z., and Kaza, N. (2020). Smart meters data for modeling and forecasting water demand at the user-level, Environmental Modelling & Software, 125, 104633.
  36. Strickling, H., DiCarlo, M., Shafiee, E.M., and Berglund, E.Z. (2020). Simulation of Containment and Wireless Emergency Alerts within Targeted Pressure Zones for Water Contamination Management, Sustainable Cities and Society, 52, 101820.
  37. Pesantez, J., Berglund, E., and Mahinthakumar, G. (2019). Multiphase Procedure to Design District Metered Areas for Water Distribution Networks, Journal of Water Resources Planning and Management, 145(8), 04019031.
  38. Raei, E., Shafiee, M. E., Nikoo, M., and Berglund, E. (2019). Placing an ensemble of pressure sensors for leak detection in water distribution networks under measurement uncertainty, Journal of Hydroinformatics, 21(2), 223-239 doi.org/10.2166/hydro.2018.032.
  39. Kandiah, V., Berglund, E., and Binder, A. (2019). An Agent-based Modeling Approach to Project Adoption of Water Reuse and Evaluate Expansion Plans within a Sociotechnical Water Infrastructure System, Sustainable Cities and Society, 46, 101412, doi.org/10.1016/j.scs.2018.12.040.
  40. Monroe, J., DuCoste, J., and Berglund, E. (2019). Genetic Algorithm–Genetic Programming Approach to Identify Hierarchical Models for Ultraviolet Disinfection Reactors, Journal of Environmental Engineering, 145(2), doi.org/10.1061/(ASCE)EE.1943-7870.0001492.
  41. Al-Amin, S., Berglund, E., Mahinthakumar, G., and Larson, K. (2018). Assessing the Effects of Water Restrictions on Socio-Hydrologic Resilience for Shared Groundwater Systems, Journal of Hydrology, 566, 872-885, doi.org/10.1016/j.jhydrol.2018.08.045.
  42. Al-Amin, S., Ajmeri, N., Du, N., Berglund, E., and Singh, M. (2018). Toward effective adoption of secure software development practices, Simulation Modelling Practice and Theory, 85, 33-46.
  43. Garcia-Cuerva, L., Berglund, E. and Rivers, L. III (2018). An Integrated Approach to Place Green Infrastructrue Strategies in Marginalized Communities and Evaluate Stormwater Mitigation, Journal of Hydrology, 559,648-660, doi.org/10.1016/j.jhydrol.2018.02.066
  44. Monroe, J., Ramsey, E., and Berglund, E. (2018). Allocating countermeasures to defend water distribution systems against terrorist attack, Reliability Engineering & System Safety, https://doi.org/10.1016/j.ress.2018.02.014
  45. Shafiee, M., Berglund, E., and Lindell, M. (2018). An Agent-based Modeling Framework for Assessing the Public Health Protection of Water Advisories, Water Resources Management, 32(6), 2033-2059, doi.org/10.1007/s11269-018-1916-6.
  46. Ramsey, E., Berglund, E., and Goyal, R. (2017). The Impact of Demographic Factors, Beliefs, and Social Influences on Residential Water Consumption and Implications for Non-Price Policies in Urban India, Water, 9(11), 844; doi: 10.3390/w9110844.
  47. Shafiee, M. and Berglund, E. (2017). Agent-based modelling approach to evaluate the effect of collaboration among scientists in scientific workflows. Journal of Simulation, 10.1080/17477778.2017.1387333.
  48. Sankarasubramanian, A., Sabo, J., Larson, K., Seo, S., Sinha, T., Bhowmik, R., Vidal, A., Kunkel, K., Mahinthakumar, G., Berglund, E., Kominoski, J. (2017). Sythesis of public water supply use in the United States: Spatio-temporal patterns and socio-economic controls. Earth’s Future, doi:10.1002/2016EF000511.
  49. Shafiee, M. and Berglund, E. (2017). Complex Adaptive Systems Framework to Simulate the Performance of Hydrant Flushing Rules and Broadcasts during a Water Distribution System Contamination Event. Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000744.
  50. Kandiah, V., Binder, A. R. and Berglund, E. Z. (2017), An Empirical Agent-Based Model to Simulate the Adoption of Water Reuse Using the Social Amplification of Risk Framework. Risk Analysis. doi:10.1111/risa.12760
  51. Mashhadi Ali, A., Shafiee, M.E., and Berglund, E. (2017) Agent-based modeling to simulate the dynamics of urban water supply: Climate, population growth, and water shortages. Sustainable Cities and Society, 28, 420-434.
  52. Barker, Z., Stillwell, A., and Berglund, E. (2016). Scenario Analysis of Energy and Water Trade-Offs in the Expansion of a Dual Water System. Journal of Water Resources Planning and Management, 142(12), 05016012.
  53. Kandiah, V., Berglund, E., and Binder, A. (2016). Cellular Automata Modeling Framework for Urban Water Reuse Planning and Management. Journal of Water Resources Planning and Management, 142(12), 04016054. 2016 Editor’s Choice Award
  54. Garcia-Cuerva, L., Berglund, E.Z., and Binder, A.R. (2016). Public Perceptions of Water Shortages, Conservation Behaviors, and Support for Water Reuse in the U.S. Resources, Conservation and Recycling, 113, 106-115.
  55. Shafiee, E.M., and Berglund, E. (2016). Agent-based modeling and evolutionary computation for disseminating public advisories about hazardous material emergencies, Computers, Environment and Urban Systems, 57, 12-25.
  56. Kanta, L., and Berglund, E. (2015). Exploring Tradeoffs in Demand-side and Supply-side Management of Urban Water Resources using Agent-based Modeling and Evolutionary Computation, Systems, 3(4), 287-308.  (This article belongs to the Special Issue Agent-Based Modelling of City Systems)
  57. Shafiee, M., Berglund, A., Berglund, E., Brill, E., Jr., and Mahinthakumar, G. (2015). Parallel Evolutionary Algorithm for Designing Water Distribution Networks to Minimize Background Leakage, Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000601, C4015007.
  58. Berglund, E.Z. (2015). Using Agent-based Modeling for Water Resources Planning and Management. Journal of Water Resources Planning and Management, 141(11), 04015025.
  59. Giacomoni, M. & Berglund, E.Z. (2015). A Complex Adaptive Simulation Framework for Evaluating Adaptive Demand Management for Urban Water Resources Sustainability. Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000543, 04015024.
  60. Shafiee, M., & Berglund, E. (2015). Real-Time Guidance for Hydrant Flushing Using Sensor-Hydrant Decision Trees. Journal of Water Resources Planning and Management, 141(6), 04014079.
  61. Giacomoni, M., Gomez, R., and Berglund, E.Z. (2014). Hydrologic Impact Assessment of Land Use Change and Stormwater Management using the Hydrologic Footprint Residence. Journal of American Water Resources Association (JAWRA), 50(5), 1242-1256. DOI: 10.1111/jawr.12187
  62. Scott, T.J., Politte, A., Collard, S., Saathoff, S., Berglund, E.Z., Barbour, J., & Sprintson, A. (2014). A Test of the Stormwater Footprint Calculator for Improving Knowledge and Changing Attitudes about Design for Sustainability in Stormwater Management. Sustainability: Science, Practice, & Policy, 10(1), 14 pages
  63. Kanta, L. and Zechman, E.M. (2014). A Complex Adaptive Systems Framework to Assess Supply-side and Demand-side Management for Urban Water Resources. Journal of Water Resources Planning and Management, 140(1), 75-85.
  64. Marchi A., …, Zechman, E.M., et al. (+59 co-authors) (2014). Battle of the Water Networks II (BWN-II). Journal of Water Resources Planning and Management, 140(7)
  65. Giacomoni, M., Kanta, L., & Zechman, E.M. (2013). A Complex Adaptive Systems Approach to Simulate the Sustainability of Water Resources and Urbanization. Journal of Water Resources Planning and Management, 139(5), 554-564.
  66. Rasekh, A., Shafiee, M.E., Zechman, E.M., & Brumbelow, K. (2013). Sociotechnical Risk Assessment for Water Distribution System Contamination Threats. Journal of Hydroinformatics,16(3), 531-549.
  67. Shafiee, M., & Zechman, E.M. (2013). An Agent-based Modeling Framework for Sociotechnical Simulation of Water Distribution Contamination Events. Journal of Hydroinformatics, 15(3), 862-880.
  68. Zechman, E.M. (2013). Integrating Evolution Strategies and Genetic Algorithms with Agent-based Modeling for Flushing a Contaminated Water Distribution System. Journal of Hydroinformatics, 15(3), 798-812.
  69. Zechman, E.M., Giacomoni, M., & Shafiee, M. (2013). An Evolutionary Algorithm Approach to Generate Distinct Sets of Non-Dominated Solutions for Wicked Problems. Engineering Applications of Artificial Intelligence, 26(5), 1442-1457.
  70. Suresh, M.A., Stoleru, R., Zechman, E., and Shihada, B. (2013). On Event Detection and Localization in Acyclic Flow Networks. IEEE Transactions on Systems, Man and Cybernetics: Part A: Systems, 43(3), 708-723.
  71. Damodaram, C., & Zechman, E.M. (2013). Simulation-Optimization Approach to Design Low Impact Development for Managing Peak Flow Alterations in Urbanizing Watersheds. Journal of Water Resources Planning and Management, 139(3), 290-298.
  72. Mirghani, B., Zechman, E.M., Ranjithan, S., & Mahinthakumar, G. (2012). Enhanced Simulation-Optimization Approach Using Surrogate Modeling for Solving Inverse Problems. Environmental Forensics, 13(4), 348-363.
  73. Kanta, L., Zechman, E.M., & Brumbelow, K. (2012). A Multi‐Objective Evolutionary Computation Approach for Redesigning Water Distribution Systems to Provide Fire Flows. Journal of Water Resources Planning and Management, 138(2), 144-152.
  74. Manian, D., Kaihatu, J.M., & Zechman, E.M. (2012). Using Genetic Algorithms to Optimize Bathymetric Sampling for Predictive Model Input. Journal of Atmospheric and Oceanic Technology, 29(3), 464-477.
  75. Giacomoni, M., Zechman, E.M., & Brumbelow, K. (2012). The Hydrologic Footprint Residence: An Environmentally-friendly Criteria for Best Management Practices. Journal of Hydrologic Engineering, 17(1), 99-108
  76. Liu, L., Zechman, E.M., Mahinthakumar, G., & Ranjithan, S. (2012). Identifying contaminant sources for water distribution systems using a hybrid method. Civil Engineering and Environmental Systems, 29(2), 123-136.
  77. Liu, L., Zechman, E.M., Mahinthakumar, G., & Ranjithan, S. (2012). Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source. Engineering Applications of Artificial Intelligence, 25(2), 309-316
  78. Purtha, R., Quadrifoglio, L., & Zechman, E.M. (2012). Using an Ant Colony Optimization Approach for Solving Traffic Signal Coordination in Oversaturated Networks. Computer-Aided Civil and Infrastructure Engineering, 27(1), 14–28.
  79. Zechman, E.M. (2011). Agent-Based Modeling to Simulate Contamination Events and Evaluate Threat Management Strategies in Water Distribution Systems. Risk Analysis, 31(5), 758-772.
  80. Damodaram, C., Giacomoni, M.H., Prakash Khedun, C., Holmes, H., Ryan, A., Saour, W., & Zechman, E.M. (2010). Simulation of Combined Best Management Practices and Low Impact Development for Sustainable Stormwater Management. Journal of the American Water Resources Association, 46(5), 907-918
  81. Nicklow, J., Reed, P., D. Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., Karamouz, M., Minsker, B., Ostfeld, A., Singh, A., & Zechman, E. (2010). State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management. Journal of Water Resources Planning and Management, 136(4), 412-432. Winner of 2019 Best Seminal Paper Award.
  82. Booker, G., Sprintson, A., Zechman, E.M., Singh, C., & Guikema, S. (2010). Efficient Availability Evaluation for Transport Backbone Networks. Computer Networks, 54(10), 1683-1691
  83. Reichold, L., Zechman, E.M., Brill, E.D., Jr., & Holmes, H. (2010). A Simulation-Optimization Framework to Support Sustainable Watershed Development by Mimicking the Predevelopment Flow Regime. Journal of Water Resources Planning and Management, 136(3), 366-375, Winner of 2011 Best Research-Oriented Paper Award
  84. Mirghani, B., Tryby, M., Ranjithan, S., Zechman, E.M., and Mahinthakumar, G. (2009). A Parallel Evolutionary Strategy Based Simulation–Optimization Approach for Solving Groundwater Source Identification Problems. Advances in Water Resources, 32(9), 1373-1385
  85. Zechman, E.M., & Ranjithan, S. (2009). Evolutionary Computation-based Methods for Characterizing Contaminant Sources in a Water Distribution System. Journal of Water Resources Planning and Management, 135(5), 334-343, Winner of 2010 Best Research-Oriented Paper Award
  86. Jin, X., Mahinthakumar, G., Zechman, E.M., Ranjithan, S. (2009). A genetic algorithm-based procedure for 3D source identification at the Borden emplacement site. Journal of Hydroinformatics, 11(1), 51-64
  87. Raghavachar, K., Mahinthakumar, G., Worley, P., Zechman, E.M., & Ranjithan, S. (2007). Parallel Performance Modeling using a Genetic Programming-based Error Correction Procedure. Simulation, 83(7), 515-527
  88. Zechman, E.M., & Ranjithan, S. (2007). Evolutionary Computation-based Approach for Model Error Correction and Calibration. Advances in Water Resources, 30(5), 1360-1370
  89. Zechman, E.M., & Ranjithan, S. (2007). Generating Alternatives using Evolutionary Algorithms for Water Resources and Environmental Management Problems. Journal of Water Resources Planning and Management, 133(2), 156-165
  90. Zechman, E.M., & Ranjithan, S. (2005). Multipopulation Cooperative Coevolutionary Programming (MCCP) to Enhance Design Innovation. In Beyer et al. (eds.), GECCO, ACM Press, 1641-1648
  91. Zechman, E.M., & Ranjithan, S. (2004). An Evolutionary Algorithm to Generate Alternatives (EAGA) for Engineering Optimization Problems. Engineering Optimization, 36(5), 539-553.
  92. Ormsbee, L., Elshorbagy, A., & Zechman, E.M. (2004). Methodology for pH Total Maximum Daily Loads: Application to Beech Creek Watershed. Journal of Environmental Engineering, 130(2), 167-174.