Download
Current Release 3.1.1
Installation Instructions
To install and run GenOpt, Java needs to be installed on your computer.
Java Runtime Environment (JRE) v1.8.0 is the minimum requirement.
Java can be downloaded from Oracle.
To install GenOpt, press the download button above, and
save the file genopt-install-x-x-x.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-x-x-x.jar and type
java -jar genopt-install-x-x-x.jar.
GenOpt can be installed in any directory.
GenOpt Related Publications
Repository with instructions and example for GenOpt with various Modelica tools,
developed by Anton Haumer.
This repository also has
step-by-step instructions for setting up and solving an optimization problem
in which the cost function is evaluated by Dymola or OpenModelica.
Vishak Dudhee and Vladimir Vukovic.
Coupling OpenModelica and GenOpt.
Guidelines Version 2.1.
School of Computing, Engineering & Digital Technologies
Teesside University, United Kingdom.
August 2021.
pdf,
example files.
YouTube tutorial for GenOpt 3.1 with EnergyPlus 8.2
from SMH Adil, GEED India. 2016.
Vasileios Machairas.
Tutorial on GenOpt with Radiance. 2012.
Brian Coffey.
Using Building Simulation and Optimization to Calculate Lookup Tables for Control.
PhD dissertation, University of California Berkeley, United States, 2011.
Related files and source code:
simcon_v0-2.
Brian Coffey, Fariborz Haghighat, Edward Morofsky and Edward Kutrowski.
A software framework for model predictive control with GenOpt.
Energy and Buildings,
42(7):1084-1092, 2010.
Louis Stephan, Alain Bastide, Etienne Wurtz and Bernard Souyri.
Ensuring desired natural ventilation rate by means of optimized openings.
Proc. of the 11-th IBPSA Conference, Glasgow, Scotland, July 2009.
Matti Palonen, Ala Hasan and Kai Siren.
A genetic algorithm for optimization of building envelope and HVAC system parameters.
Proc. of the 11-th IBPSA Conference, Glasgow, Scotland, July 2009.
Michael Wetter.
Modelica-based Modeling and Simulation to Support Research and
Development in Building Energy and Control Systems.
Journal of Building Performance Simulation,
2(2):143-161, 2009.
Brian Coffey.
A Development and Testing Framework for Simulation-Based Supervisory Control With Application to Optimal Zone Temperature Ramping Demand Response Using a Modified Genetic Algorithm.
Master Thesis, Concordia University, Quebec, Canada, 2008.
Program files created during the master thesis: SimCon beta Sept2008.zip
Ala Hasan, Mika Vuolle and Kai Siren.
Minimisation of life cycle cost of a detached house using combined simulation and optimisation.
Building and Environment, 43(12):2022-2034, 2008.
Natasa Djuric, Vojislav Novakovic, Johnny Holst 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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