Követés
Barbara Minsker
Barbara Minsker
Professor, Civil and Environmental Engineering, Southern Methodist University
E-mail megerősítve itt: smu.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
7422010
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
6862014
Anomaly detection in streaming environmental sensor data: A data-driven modeling approach
DJ Hill, BS Minsker
Environmental Modelling & Software 25 (9), 1014-1022, 2010
3832010
Designing a competent simple genetic algorithm for search and optimization
P Reed, B Minsker, DE Goldberg
Water Resources Research 36 (12), 3757-3761, 2000
2432000
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
2412000
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
2182004
Optimal groundwater remediation design using an adaptive neural network genetic algorithm
S Yan, B Minsker
Water Resources Research 42 (5), 2006
1912006
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
1862000
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
1692007
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
1552003
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
1402018
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
1362001
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
1251998
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
1172014
Uncertainty‐based multiobjective optimization of groundwater remediation design
A Singh, BS Minsker
Water resources research 44 (2), 2008
1122008
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
1122003
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
1012005
Real‐time Bayesian anomaly detection in streaming environmental data
DJ Hill, BS Minsker, E Amir
Water resources research 45 (4), 2009
962009
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
932012
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
882011
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