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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Percentage of evaluations to do to escape local minima.
Alias: none
Argument(s): REAL
Default: 0.0
The variable_neighborhood_search
keyword is used to set the percentage (in decimal form) of function evaluations used to escape local minima. The mesh adaptive direct search method will try to perform a maximum of that percentage of the function evaluations within this more extensive search.
Default Behavior
By default, variable_neighborhood_search
is not used.
Usage Tips
Using variable_neighborhood_search
results in an increased number of function evaluations. If the desired result is a local minimum, the added cost is of little or no value, so the recommendation is not to use it. If the desired result is the best local minimum possible within a computational budget, then there is value in setting this parameter. Note that the higher the value, the greater the computational cost. The value should be no greater than 1.0.
The following example shows the syntax used to set variable_neighborhood_search
.
method mesh_adaptive_search seed = 1234 variable_neighborhood_search = 0.1