This node is located in the Systems > Algorithms > Optimization folder in the Modules pane.
The UP Efficient Global Optimization (UP-EGO) method can be used only for optimization with a direct solver call. This method employs advanced refinement methods to provide the global optima. It requires a minimum number of design points to build the GARS metamodel, but, in general, this method reduces the number of design points necessary for the optimization.
Further information about methods of multidisciplinary optimization used in optiSLang can be found here.
Node Settings
To access the options shown in the following table, double-click the UP Efficient Global Optimization (UP-EGO) (Beta) system on the Scenery pane and in the Settings tab, click .
Option | Default Value | Description |
---|---|---|
Number of Initial Samples | 50 | Number of initial samples, generated using an optimal space filling design. |
Maximum Number of Samples | 500 | Stop criterion. Maximum number of samples (design points) that the algorithm is to calculate. |
Additional Options
To access the options shown in the following table, in any tab, click
.Option | Description |
---|---|
Limit maximum in parallel |
Controls the resource usage of nodes in the system. When the check box is cleared (default), a value is chosen to ensure the best possible utilization of the child nodes. When the check box is selected, set the value manually to specify how many designs are sent to child nodes, limiting the maximum degree of parallelism for all children. Ansys recommends keeping the check box clear. |
Auto-save behavior |
Select one of the following options:
The project, including the database, is auto-saved (depending on defined interval) after calculating this node/system (either when the calculation succeeds or fails). By default, all parametric and algorithm systems have selected, all other nodes have selected. |
Supported Versions
The following versions of UP-EGO are supported and tested: 2021 R2 and later.