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Multi-Objective Optimization – Lesson 6
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Once again, a wizard is used to easily set up a multi-objective optimization.
Due to its very good prediction quality, the Adaptive Metamodel of Optimal Prognosis (AMOP) can be used to approximate the responses with sufficient accuracy. Thus, the optimization process can be performed in a much shorter time compared to time-consuming numerical simulations. Nevertheless, it will be shown how best designs along the Pareto-Front can be validated.
Furthermore, it will be shown how to easily evaluate and comprehensibly visualize the results in the Postprocessing.
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Chapters -
00:09 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)
Due to its very good prediction quality, the Adaptive Metamodel of Optimal Prognosis (AMOP) can be used to approximate the responses with sufficient accuracy. Thus, the optimization process can be performed in a much shorter time compared to time-consuming numerical simulations. Nevertheless, it will be shown how best designs along the Pareto-Front can be validated.
Furthermore, it will be shown how to easily evaluate and comprehensibly visualize the results in the Postprocessing.
// INTERESTED IN MORE?
Visit Ansys Innovation Courses for free courses that include videos, handouts, simulation examples with starting files, homework problems, and quizzes.
// DOWNLOAD FREE ANSYS SOFTWARE
Ansys offers free student product downloads for homework, capstone projects, student competitions, online learning, and more!
// QUESTIONS ABOUT THIS VIDEO OR USING ANSYS?
Get help from Ansys experts and peers through the Ansys Learning Forum. Search for answers to common questions, browse discussion categories, or ask your own question.
// STAY IN THE LOOP
Follow our Ansys Academic LinkedIn showcase page for updates on learning resources, events, job opportunities, cutting-edge simulation content, and more!
Chapters -
00:09 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)
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