Geometry optimization parameters

Control Parameters
Maximum Number of Iterations	Specifies the maximum number of iterations that the optimization is allowed to run regardless of whether the optimization has converged.
Convergence Parameters
Note that smaller values for convergence criteria mean that more iterations are required for the optimization to converge. The optimization is considered converged if either the relative or the absolute convergence parameters are satisfied.
Max Constraint Violation	Controls the percentage by which the constraint limits are allowed to be violated for a solution to reach convergence.
Relative Convergence	Controls the percent change from the last two iterations at which the optimization is considered converged. The design is converged when these conditions are met:The relative percentage change in the objective function value is less than the specified Relative Convergence value for two consecutive iterations.There is no constraint whose allowable violation is exceeded in the last iteration.
Absolute Convergence	Controls the actual change from the last two iterations at which the optimization is considered converged. The software determines an absolute convergence tolerance, which is equal to:(Absolute Convergence value) X (initial objective function value). The design is converged when these conditions are met:There are two consecutive iterations for which the absolute change in the objective function is less than the Absolute Convergence tolerance.There is no constraint whose allowable violation is exceeded in the last iteration.The software tests the relative and absolute convergence criteria together. At iteration N, (N vs. N-1) and (N-1 vs. N-2) are the two consecutive iterations. For each iteration, the convergence criterion is considered satisfied if either the absolute or the relative criterion is met. For example: if the relative convergence is satisfied for (N vs. N-1) and the absolute convergence is satisfied for (N-1 vs. N-2), the iteration has converged.
Perturbation Fraction	Defines the percentage by which the design variables can vary during a sampling period in the first few iterations of the optimization. The amount changed is the difference between the upper and lower limits of the design variable multiplied by this percentage.For example, consider a design variable with a value of 10. Its upper and lower limits are 11 and 9. If the perturbation percentage is 20, for these initial iterations, the optimization will vary the variable by .20(11 – 9), or 0.4.
Results Management
Save results for all iterations	Saves results for all iterations. When this option is not selected, only the results for the final iteration are saved.
Global Sensitivity Parameter
Constraint checking	Available when you set the Process Type on the General Setup page to Global Sensitivity.Outputs the value of each design constraint at each step.

How do I

Create the geometry optimization

Create a weight or volume objective

Create a frequency objective

Create an objective from a result measure

Create a weight or volume constraint

Define a frequency design constraint

Create a constraint based on a result measure

Define design variables for the geometry optimization

Solve the geometry optimization

Learn more

Geometry optimization

Geometry Optimization workflow

Types of geometry optimization

Design objective – Geometry Optimization

Defining design constraints – Geometry Optimization

Defining design variables – Geometry Optimization

Part files modified by Geometry Optimization

Analyzing optimization results

Update an expression with the result from a specific iteration

Quick links

Exporting result quantities as named expressions

Command reference

Pre/Post video examples

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Geometry optimization parameters, Simcenter 3D 2021.1 Series

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