Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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display_all_evaluations


Shows mesh adaptive search's internally held list of all evaluations

Specification

Alias: none

Argument(s): none

Default: false

Description

If set, display_all_evaluations will instruct the mesh adaptive direct search method to print out its own record of all evaluations. The information reported may be controlled using display_format.

Default Behavior

By default, mesh adaptive direct search does not report information on all evaluations, only on those for which an improvement in the objective function is found.

Expected Outputs

The information specified by display_format will be reported to the screen for every function evaluation.

Usage Tips

This will most likely only be useful for power users who want to understand and/or report more detailed information on method behavior.

Examples

The following example shows the syntax for specifying display_all_evaluations.

method
  mesh_adaptive_search
    display_all_evaluations
    max_function evaluations=20
    seed = 1234

Note that the output below reports information (default for display_format) for all function evaluations.

MADS run {

    BBE OBJ

     1  17.0625000000
     2  1.0625000000
     3  1297.0625000000
     4  257.0625000000
     5  81.0625000000
     6  151.0625000000
     7  1051.0625000000
     8  40.0625000000
     9  17.0625000000
    10  40.0625000000
    11  1.0625000000
    12  102.0625000000
    13  0.0625000000
    14  231.0625000000
    15  16.0625000000
    16  5.0625000000
    17  16.0625000000
    18  71.0625000000
    19  0.0625000000
    20  1.0625000000

} end of run (max number of blackbox evaluations)

blackbox evaluations                     : 20
best feasible solution                   : ( 1 0.5 1 ) h=0 f=0.0625

That is in contrast with what would be reported by default.

MADS run {

    BBE OBJ

     1  17.0625000000
     2  1.0625000000
    13  0.0625000000
    20  0.0625000000

} end of run (max number of blackbox evaluations)

blackbox evaluations                     : 20
best feasible solution                   : ( 1 0.5 1 ) h=0 f=0.0625

See Also

These keywords may also be of interest: