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Generic Optimization Program User Manual Version 3.0.0 [electronic resource].

Published
Berkeley, Calif. : Lawrence Berkeley National Laboratory. Environmental Energy Technologies Division, 2009.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Additional Creators
Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory. Environmental Energy Technologies Division, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
GenOpt is an optimization program for the minimization of a cost function that is evaluated by an external simulation program. It has been developed for optimization problems where the cost function is computationally expensive and its derivatives are not available or may not even exist. GenOpt can be coupled to any simulation program that reads its input from text files and writes its output to text files. The independent variables can be continuous variables (possibly with lower and upper bounds), discrete variables, or both, continuous and discrete variables. Constraints on dependent variables can be implemented using penalty or barrier functions. GenOpt uses parallel computing to evaluate the simulations. GenOpt has a library with local and global multi-dimensional and one-dimensional optimization algorithms, and algorithms for doing parametric runs. An algorithm interface allows adding new minimization algorithms without knowing the details of the program structure. GenOpt is written in Java so that it is platform independent. The platform independence and the general interface make GenOpt applicable to a wide range of optimization problems. GenOpt has not been designed for linear programming problems, quadratic programming problems, and problems where the gradient of the cost function is available. For such problems, as well as for other problems, special tailored software exists that is more efficient.
Report Numbers
E 1.99:lbnl-2077e
lbnl-2077e
Other Subject(s)
Note
Published through SciTech Connect.
05/11/2009.
"lbnl-2077e"
Wetter, Michael.
Funding Information
DE-AC02-05CH11231
View MARC record | catkey: 14069941