Multi-Objective Optimization — Lesson 6

Once again, a wizard is used to easily set up a multi-objective optimization in this lesson.

Due to its very good prediction quality, the AMOP can be used to approximate the responses with sufficient accuracy. Thus, the optimization process can be performed in less time compared to time-consuming numerical simulations. Nevertheless, it will be shown how to validate the best designs along the Pareto front.

Furthermore, the lesson will demonstrate how to easily evaluate and comprehensibly visualize the results in post-processing.

Lecture

Alternate video link.

Video Highlights

00:09 – Step 1: Start using the optimization wizard

00:36 – Step 2: Define optimization criteria

00:57 – Step 3: Choose the optimization method

01:08 – Step 4: Additional optimization options

01:31 – Reducing the number of Pareto designs to be validated

01:51 – Multi-objective optimization postprocessing

02:08 – Control validated design

02:35 – Cluster analysis to divide Pareto front by color

02:52 – Summary (audio only)