Download
GenOpt
To install and run GenOpt, Java needs to be installed on your computer.
Java Runtime Environment (JRE) v1.5.0 is the minimum requirement.
Java can be downloaded from Sun Microsystems.
To install GenOpt, press the download button above, and
save the file genopt-install.jar to your
computer.
If your operating system associates jar files with java,
double-click the file to start the installation.
Otherwise, open a command shell, change to the directory
that contains genopt-install.jar and type
java -jar genopt-install.jar.
GenOpt can be installed in any directory.
GenOpt related Publications
Ala Hasan, Mika Vuollea and Kai Siren.
Minimisation of life cycle cost of a detached house using combined simulation and optimisation.
In press: Building and Environment, 2008.
Natasa Djurica, Vojislav Novakovica, Johnny Holsta and Zoran Mitrovic.
Optimization of energy consumption in buildings with hydronic heating systems considering thermal comfort by use of computer-based tools.
Energy and Buildings, 39(4):471--477, 2007.
Michael Kummert.
Using GenOpt with TRNSYS16 and Type 56.
ESRU, University of Strathclyde, 2007.
Elijah Polak and Michael Wetter.
Precision control for
generalized pattern search algorithms with adaptive
precision function evaluations.
SIAM Journal on Optimization, 16(3):650-669, 2006.
Simeng Liu and Gregor P. Henze.
Calibration of building models for supervisory control of commercial buildings.
Proc. of the 9-th IBPSA Conference, Montreal, Canada, August 2005.
Michael Wetter.
BuildOpt - A new building energy simulation program that is built on smooth models.
Building and Environment, 40:1085--1092, 2005.
Michael Wetter and Elijah Polak.
Building design optimization using a convergent pattern search algorithm with adaptive precision simulations.
Energy and Buildings, 37(6):603--612, 2005.
Michael Wetter and Elijah Polak.
A convergent optimization method using pattern search algorithms with
adaptive precision simulation.
Building Services Engineering Research and Technology, 25(4):327--338, 2004.
Michael Wetter and Jonathan Wright.
A comparison of deterministic and probabilistic optimization algorithms
for nonsmooth simulation-based optimization.
Building and Environment, 39(8):989--999, 2004.
Michael Wetter.
Simulation-based building energy optimization.
PhD Dissertation. University of California at Berkeley, 2004.
Michael Wetter and Elijah Polak.
A convergent optimization method using pattern search algorithms with
adaptive precision simulation.
In G. Augenbroe and J. Hensen, editors,
Proc. of the 8th IBPSA Conference,
volume III, pages 1393-1400. Eindhoven, Netherlands, 2003.
Michael Wetter and Jonathan Wright.
Comparison of a generalized pattern search and a genetic
algorithm optimization method.
In G. Augenbroe and J. Hensen, editors,
Proc. of the 8th IBPSA Conference, volume III, pages 1401-1408. Eindhoven, Netherlands, 2003.
Michael Wetter.
GenOpt - A generic optimization program.
In R. Lamberts, C. O. R. Negrao, and J. Hensen, editors,
Proc. of the 7th IBPSA Conference, volume I, pages 601-608. Rio de Janeiro, 2001.
Michael Wetter.
Design optimization with GenOpt.
Building Energy Simulation, User News.
Lawrence Berkeley National Laboratory, Vol. 21, Sept./Oct. 2000.
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