Barbara Minsker
Barbara Minsker
Professor and Chair, Civil and Environmental Engineering, Southern Methodist University
Verified email at - Homepage
Cited by
Cited by
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
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
Anomaly detection in streaming environmental sensor data: A data-driven modeling approach
DJ Hill, BS Minsker
Environmental Modelling & Software 25 (9), 1014-1022, 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
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
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
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
Optimal groundwater remediation design using an adaptive neural network genetic algorithm
S Yan, B Minsker
Water Resources Research 42 (5), 2006
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
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
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
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
Uncertainty‐based multiobjective optimization of groundwater remediation design
A Singh, BS Minsker
Water resources research 44 (2), 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
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
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
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
Real‐time Bayesian anomaly detection in streaming environmental data
DJ Hill, BS Minsker, E Amir
Water Resources Research 45 (4), 2009
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
Spatial interpolation methods for nonstationary plume data
PM Reed, TR Ellsworth, BS Minsker
Groundwater 42 (2), 190-202, 2004
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