Dakota Reference Manual
Version 6.12
Explore and Predict with Confidence

Characteristic values to scale each objective function
Alias: objective_function_scales
Argument(s): REALLIST
Default: 1.0 (no scaling)
Each real value in primary_scales
is a nonzero characteristic value to be used in scaling each objective function. They only have effect when the associated method specifies scaling
.
This keyword is required for responsesobjective_functionsscale_types of 'value'
and optional for 'log'
. When specified in conjunction with log, scale values are applied prior to the logarithm, to permit log scaling of strictly negative response functions.
Length: When specified, primary_scales
must have length one of:
Usage Tips:
When primary_scales
are specified, but not responsesobjective_functionsscale_types, the scaling type is assumed to be 'value' for all primary response functions.
Use scale values of 1.0 to selectively avoid scaling a subset of response functions.
When scaling is active, it is applied to objective functions prior to any weights and multiobjective sum formation. See the equations in objective_functions.
See the scaling information under specific methods, e.g., method*scaling
for details on how to use this keyword.