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[1]
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Markus Beck, Peter Bayer, Michael de Paly, Jozsef Hecht-Mendez, and Andreas
Zell.
Geometric arrangement and operation mode adjustment in low enthalpy
geothermal borehole fields for heating.
Energy, 49:434--443, 2013.
[ details ]
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[2]
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Jozsef Hecht-Mendez, Michael de Paly, Markus Beck, and Peter Bayer.
Optimization of energy extraction for vertical closed-loop geothermal
systems considering groundwater flow.
Energy Conversion and Management, 66:1--10, 2013.
[ details ]
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[3]
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Markus Beck, Michael de Paly, Jozsef Hecht-Mendez, Peter Bayer, and Andreas
Zell.
Evaluation of the Performance of Evolutionary Algorithms for
Optimization of Low-Enthalpy Geothermal Heating Plants.
In Genetic and Evolutionary Computation Conference, GECCO-2012,
pages 1047--1054, Philadelphia, USA, July 2012.
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[4]
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Jozsef Hecht-Mendez, Michael de Paly, Markus Beck, Phillip Blum, and Peter
Bayer.
Strategic optimization of large-scale vertical closed-loop shallow
geothermal systems.
In Geophysical Research Abstracts, EGU12079, volume 14,
Vienna, apr 2012. EGU General Assembly 2012.
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[5]
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Michael de Paly, Jozsef Hecht-Mendez, Markus Beck, Philipp Blum, Andreas Zell,
and Peter Bayer.
Optimization of energy extraction for closed shallow geothermal
systems using linear programming.
Geothermics, 43:57--65, 2012.
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details ]
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[6]
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Markus Beck, Jozsef Hecht-Mendez, Michael de Paly, Peter Bayer, Philipp Blum,
and Andreas Zell.
Optimization of the energy extraction of a shallow geothermal system.
In Proceedings of the IEEE Congress on Evolutionary Computation
(CEC), pages 3622--3628, Barcelona, Spain, July 2010.
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details ]
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[7]
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Michael de Paly, Niels Schuetze, and Andreas Zell.
Determining crop-production functions using multi-objective
evolutionary algorithms.
In Proceedings of the IEEE Congress on Evolutionary Computation
(CEC), pages 1870 -- 1877, Barcelona, Spain, July 2010.
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details ]
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[8]
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Peter Bayer, Michael de Paly, and Claudius N. Bürger.
Optimization of high-reliability-based hydrological design problems
by robust automatic sampling of critical model realizations.
Water Resources Research, 46(5):W05504, May 2010.
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details |
link ]
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[9]
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Niels Schuetze, Michael de Paly, and Uri Shamir.
Novel simulation-based algorithms for optimal open-loop and
closed-loop.
Journal of Hydroinformatics, 2010.
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link ]
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[10]
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Michael de Paly and Andreas Zell.
Optimal irrigation scheduling with evolutionary algorithms.
In Lecture Notes in Computer Science (EvoWorkshops 2009),
volume 5484, pages 142--151, Tübingen, Germany, 2009. Springer-Verlag
Berlin Heidelberg.
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[11]
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Volker Gundelach, Michael de Paly, and Dieter Eisenburger.
Recognition of patterns from geological structures in radar signals
with the neuronal network simulator jnns.
In Ultra-Wideband, 2008. ICUWB 2008. IEEE International
Conference on, volume 3, pages 167 --170, September 2008.
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[12]
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Tim Häring, Michael de Paly, Carsten Henneges, and Volker Hochschild.
Modelling tsunami vulnerability. the development of a tsunami
inundation model with machine learning tools.
In Digital Earth Summit on Geoinformatics 2008: Tools for Global
Change Research, pages 182--187, Heidelberg, Germany, 2008. Wichmann.
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[13]
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Gerd H. Schmitz, Thomas Wöhling, Michael de Paly, and Niels Schütze.
Gain-p: A new strategy to increase furrow irrigation efficiency.
Arabian Journal for Science and Engineering, 32(1):103--116,
2007.
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[14]
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Niels Schütze, Thomas Wöhling, Michael de Paly, and Gerd Schmitz.
Global optimization of deficit irrigation systems using evolutionary
algorithms.
In Proceedings of the XVI International Conference on
Computational Methods in Water Resources, Copenhagen, Denmark, 2006.
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[15]
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Niels Schütze, Michael de Paly, Thomas Wöhling, and Gerd Schmitz.
Global optimisation of deficit irrigation systems using evolutionary
algorithms and neural networks.
In Proceedings of the ICID 21st European Regional Conference
2005, Integrated Land and Water Resources Management Towards Sustainable
Rural Development, Frankfurt (Oder), Germany and Slubice, Poland, 2005.
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[16]
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Niels Schütze, Thomas Wöhling, Michael de Paly, and Gerd Schmitz.
Meeting challenges of the blue revolution: increasing irrigation
efficiency with soft-computing optimisation methods.
In Workshop on Integrated Water Research and Water Management,
pages 92--95, Altmorschen (Kassel), Germany, 2004.
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