State of the art for genetic algorithms and beyond in water resources planning and management J Nicklow, P Reed, D Savic, T Dessalegne, L Harrell, A Chan-Hilton, ... Journal of Water Resources Planning and Management 136 (4), 412-432, 2010 | 728 | 2010 |
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions HR Maier, Z Kapelan, J Kasprzyk, J Kollat, LS Matott, MC Cunha, ... Environmental Modelling & Software 62, 271-299, 2014 | 663 | 2014 |
Anomaly detection in streaming environmental sensor data: A data-driven modeling approach DJ Hill, BS Minsker Environmental Modelling & Software 25 (9), 1014-1022, 2010 | 366 | 2010 |
Designing a competent simple genetic algorithm for search and optimization P Reed, B Minsker, DE Goldberg Water Resources Research 36 (12), 3757-3761, 2000 | 241 | 2000 |
Cost‐effective long‐term groundwater monitoring design using a genetic algorithm and global mass interpolation P Reed, B Minsker, AJ Valocchi Water resources research 36 (12), 3731-3741, 2000 | 239 | 2000 |
Striking the balance: long-term groundwater monitoring design for conflicting objectives PM Reed, BS Minsker Journal of Water Resources Planning and Management 130 (2), 140-149, 2004 | 217 | 2004 |
Optimal groundwater remediation design using an adaptive neural network genetic algorithm S Yan, B Minsker Water Resources Research 42 (5), 2006 | 190 | 2006 |
Risk‐based in situ bioremediation design using a noisy genetic algorithm JB Smalley, BS Minsker, DE Goldberg Water Resources Research 36 (10), 3043-3052, 2000 | 184 | 2000 |
Real-time Bayesian anomaly detection for environmental sensor data DJ Hill, BS Minsker, E Amir Proceedings of the Congress-International Association for Hydraulic Research …, 2007 | 167 | 2007 |
Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm‐II P Reed, BS Minsker, DE Goldberg Water Resources Research 39 (7), 2003 | 153 | 2003 |
A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data P Reed, BS Minsker, DE Goldberg Journal of Hydroinformatics 3 (2), 71-89, 2001 | 136 | 2001 |
Crowdsourcing methods for data collection in geophysics: State of the art, issues, and future directions F Zheng, R Tao, HR Maier, L See, D Savic, T Zhang, Q Chen, ... Reviews of Geophysics 56 (4), 698-740, 2018 | 129 | 2018 |
Dynamic optimal control of in-situ bioremediation of ground water BS Minsker, CA Shoemaker Journal of water resources planning and management 124 (3), 149-161, 1998 | 124 | 1998 |
Machine learning assessments of soil drying for agricultural planning EJ Coopersmith, BS Minsker, CE Wenzel, BJ Gilmore Computers and electronics in agriculture 104, 93-104, 2014 | 112 | 2014 |
Optimal sampling in a noisy genetic algorithm for risk-based remediation design G Gopalakrishnan, BS Minsker, DE Goldberg Journal of Hydroinformatics 5 (1), 11-25, 2003 | 110 | 2003 |
Uncertainty‐based multiobjective optimization of groundwater remediation design A Singh, BS Minsker Water resources research 44 (2), 2008 | 107 | 2008 |
Adaptive hybrid genetic algorithm for groundwater remediation design FP Espinoza, BS Minsker, DE Goldberg Journal of water resources planning and management 131 (1), 14-24, 2005 | 99 | 2005 |
Real‐time Bayesian anomaly detection in streaming environmental data DJ Hill, BS Minsker, E Amir Water resources research 45 (4), 2009 | 95 | 2009 |
Interactive genetic algorithm with mixed initiative interaction for multi-criteria ground water monitoring design M Babbar-Sebens, BS Minsker Applied Soft Computing 12 (1), 182-195, 2012 | 90 | 2012 |
Applying dynamic surrogate models in noisy genetic algorithms to optimize groundwater remediation designs S Yan, B Minsker Journal of water resources planning and management 137 (3), 284-292, 2011 | 87 | 2011 |