Dakota Reference Manual: primary_scale_types

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primary_scale_types

How to scale each objective function

## Specification

Alias: objective_function_scale_types

Argument(s): STRINGLIST

Default: no scaling

## Description

Each string in `primary_scale_types` indicates the scaling type for each objective function. They only have effect when the associated method specifies `scaling`.

The options are:

- `'value'` - characteristic value by which response functions will be divided. If this is chosen, then primary_scales must also be specified; 'value' is assumed if scales are given without `scale_types`

- `'log'` - logarithmic scaling (can be used together with primary_scales, which can be helpfully used to negate values prior to log transformation)

(Automatic scaling is disallowed due to lack of bounds or targets for primary responses.)

If a single string is specified it will apply to all objective_functions. Otherwise the length of `primary_scale_types` must have length equal to objective_functions. Thus, when scalar and/or field responses are specified, the number of `primary_scale_types` must equal the number of scalars plus the number of fields, not the total elements in the fields.

Usage Tips:

When scaling is active, it is applied to objective functions prior to any weights and multi-objective sum formation.

See the scaling information under specific methods, e.g., `method-*-scaling` for details on how to use this keyword.