William E Hart
William E Hart
Verified email at sandia.gov
Cited by
Cited by
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
GM Morris, DS Goodsell, RS Halliday, R Huey, WE Hart, RK Belew, ...
Journal of computational chemistry 19 (14), 1639-1662, 1998
Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.13 User's …
B Adams, W Bohnhoff, K Dalbey, M Ebeida, J Eddy, M Eldred, R Hooper, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
Pyomo-optimization modeling in python
WE Hart, CD Laird, JP Watson, DL Woodruff, GA Hackebeil, BL Nicholson, ...
Springer, 2017
Pyomo: modeling and solving mathematical programs in Python
WE Hart, JP Watson, DL Woodruff
Mathematical Programming Computation 3 (3), 219-260, 2011
The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms
A Ostfeld, JG Uber, E Salomons, JW Berry, WE Hart, CA Phillips, ...
Journal of Water Resources Planning and Management 134 (6), 556-568, 2008
Adaptive global optimization with local search
WE Hart
University of California, San Diego, Department of Computer Science …, 1994
Sensor placement in municipal water networks
JW Berry, L Fleischer, WE Hart, CA Phillips, JP Watson
Journal of Water Resources Planning and Management 131 (3), 237-243, 2005
Measurement and classification of retinal vascular tortuosity
WE Hart, M Goldbaum, B Côté, P Kube, MR Nelson
International journal of medical informatics 53 (2-3), 239-252, 1999
DAKOTA: a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's …
MS Eldred, KR Dalbey, WJ Bohnhoff, BM Adams, LP Swiler, PD Hough, ...
Sandia National Laboratories, 2010
Sensor placement in municipal water networks with temporal integer programming models
J Berry, WE Hart, CA Phillips, JG Uber, JP Watson
Journal of water resources planning and management 132 (4), 218-224, 2006
Review of sensor placement strategies for contamination warning systems in drinking water distribution systems
WE Hart, R Murray
Journal of Water Resources Planning and Management 136 (6), 611-619, 2010
Protein structure prediction with evolutionary algorithms
WE Hart, N Krasnogor, DA Pelta, J Smith
Sandia National Labs., Albuquerque, NM (US); Sandia National Labs …, 1999
Fast protein folding in the hydrophobic–hydrophilic model within three-eighths of optimal
WE Hart, SC Istrail
Journal of computational biology 3 (1), 53-96, 1996
Recent advances in memetic algorithms
WE Hart, N Krasnogor, JE Smith
Springer Science & Business Media, 2004
Opportunities for combinatorial optimization in computational biology
HJ Greenberg, WE Hart, G Lancia
INFORMS Journal on Computing 16 (3), 211-231, 2004
Robust proofs of NP-hardness for protein folding: general lattices and energy potentials
WE Hart, S Istrail
Journal of Computational Biology 4 (1), 1-22, 1997
Memetic evolutionary algorithms
WE Hart, N Krasnogor, JE Smith
Recent advances in memetic algorithms, 3-27, 2005
A multiple-objective analysis of sensor placement optimization in water networks
JP Watson, HJ Greenberg, WE Hart
Critical transitions in water and environmental resources management, 1-10, 2004
PICO: An object-oriented framework for parallel branch and bound
J Eckstein, CA Phillips, WE Hart
Studies in Computational Mathematics 8, 219-265, 2001
Optimising an Arbitrary Function is Hard for the Genetic Algorithm.
WE Hart, RK Belew
ICGA 91, 191-195, 1991
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