Restarting Optimization

This sample explains how to resume an optimization that was interrupted partway through.

Sample Files

Note

Keep the sample project and sample script on same folder.

What This Sample Will Do

For the FEM problem, we will determine the design parameters through random sampling and conduct three analyses.

Next, we will conduct three optimization trials using the geneticalgorithm NSGA-II.

Finally, we will conduct three optimization trials using the Gaussian Process Regression Bayesian Optimization algorithm.

Note

By doing this, we can switch optimization methods during the process while monitoring the progress of optimization, or add random sampling for creating surrogate models.

Note

When restarting, the number and names of variables, as well as the number and names of objective functions and constraints must be consistent. However, you can change the bounds of variables, direction of objective functions, and content of constraints.

Warning

When using OptunaOptimizer, the .db file with the same name (in this case restarting-sample.db) that is saved along with csv is required to be in the same folder as the csv file.

Please do not delete or rename it.

Design Variables

../../_images/model.png — Appearance of the Model

Variable Name	Description
width	The thickness of the tuning fork.
length	The length of the tuning fork.
base_radius	The radius of the tuning fork’s handle.

Objective Function

First Resonant Frequency (target value: 800)

Execution Result of the Samples

../../_images/result.png — Screenshot of the result

Warning

When performing effective optimization on real-world problems, a greater number of trials is necessary.