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Dakota Reference Manual
Version 6.2
Large-Scale Engineering Optimization and Uncertainty Analysis
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DIviding RECTangles method
This keyword is related to the topics:
Alias: none
Argument(s): none
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Optional | solution_target | Specifies a globally optimal value toward which the optimizer should track | ||
Optional | min_boxsize_limit | Stopping Criterion based on shortest edge of hyperrectangle | ||
Optional | volume_boxsize_limit | Stopping criterion based on volume of search space | ||
Optional | model_pointer | Identifier for model block to be used by a method |
North Carolina State University (NCSU) has an implementation of the DIRECT algorithm (DIviding RECTangles algorithm that is outlined in the SCOLIB method section above). This version is documented in [27] We have found that the NCSU DIRECT implementation works better and is more robust for some problems than coliny_direct
. Currently, we maintain both versions of DIRECT in Dakota; in the future, we may deprecate one.
The NCSU DIRECT method is selected with ncsu_direct
. We have tried to maintain consistency between the keywords in SCOLIB and NCSU implementation of DIRECT, but the algorithms have different parameters, so the keywords sometimes have slightly different meaning.
Stopping Criteria
The algorithm stops based on:
solution_target
and convergence_tolerancemin_boxsize_limit
volume_boxsize_limit
This method will always strictly respect the number of iterations, but may slightly exceed the number of function evaluations, as it will always explore all sub-rectangles at the current level.
These keywords may also be of interest: