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Barbara Minsker
Barbara Minsker
Professor and Chair, Civil and Environmental Engineering, Southern Methodist University
Bestätigte E-Mail-Adresse bei smu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
6962010
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
6042014
Anomaly detection in streaming environmental sensor data: A data-driven modeling approach
DJ Hill, BS Minsker
Environmental Modelling & Software 25 (9), 1014-1022, 2010
3362010
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
2342000
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
2132004
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
1812000
Optimal groundwater remediation design using an adaptive neural network genetic algorithm
S Yan, B Minsker
Water Resources Research 42 (5), 2006
1802006
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
1572007
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
1512003
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
1322001
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
1231998
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
1072018
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
1052003
Uncertainty‐based multiobjective optimization of groundwater remediation design
A Singh, BS Minsker
Water resources research 44 (2), 2008
1032008
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
972005
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
952014
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
872012
Real‐time Bayesian anomaly detection in streaming environmental data
DJ Hill, BS Minsker, E Amir
Water resources research 45 (4), 2009
872009
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
782011
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