Configuring the run parameters for a scenario in a Decision
Optimization
experiment
Last updated: Nov 28, 2024
Configuring the run parameters for a scenario in a Decision Optimization experiment
You can configure the run parameters for all scenarios in a Decision
Optimizationexperiment. Configuring parameters might be useful,
for example, for specifying limits for the runtime, for the job memory or for indicating whether you
want to see intermediate solutions or not.
When you click the Run configuration icon next to the Run button in the Prepare data, Build model, or the Explore solutionview, a window opens showing you the currently
set parameter values.
In this window, you can select and edit different run configuration
parameters.
You can click Add parameter and then choose from the
following parameters from the Select Parameters drop-down
menu.
Name
Type
Description
Runtime limit
Number
You can use this parameter to set a time limit in seconds.
Log detail level
Enum
OFF
INFO
FINE
You can use this parameter to define the level of detail provided by the engine log. The
default value is INFO.
Job memory
Number
You can use this parameter to set a job memory limit in MB.
Intermediate solution delivery
Enum
NO
Every minute
Every 2 minutes
Every 5 minutes
Every 10 minutes
Every 15 minutes
You can use this parameter to obtain a sample of intermediate solutions while the solve is
running. The default value is NO, which means that no
intermediate solutions are displayed. To see intermediate solutions, set this parameter to a
frequency. When set, you can see intermediate solutions by clicking New data
available in the graphical display that is shown during the run. The following values,
which are sampled with the frequency you set, are then displayed.
Statistics for a maximum of 3 intermediate solutions.
KPIs for a maximum of 3 intermediate solutions.
The solution table that shows only values from the last sampling.
See the IntermediateSolutions sample in the
Model_Builder folder of the DO-samples in the Decision Optimization GitHub. Select the relevant product and version subfolder.
If you choose
Custom parameter from the Select Parameters drop-down
menu, you can add the following advanced parameters.
Name
Description
Modeling Assistant only
For CPLEX
ma.cplex.parameters.<Python cplex parameter name>
For
CPO ma.cpo.parameters.<Python cpo parameter
name>
Python names for CPLEX and CPO parameters can be entered with the prefixes
ma.cplex.parameters. or ma.cpo.parameters.
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