Multi-Objective Optimization – Lesson 6

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. // INTERESTED IN MORE? Visit Ansys Innovation Courses for free courses that include videos, handouts, simulation examples with starting files, homework problems, and quizzes. Visit today → https://bit.ly/3Eo8esU // DOWNLOAD FREE ANSYS SOFTWARE Ansys offers free student product downloads for homework, capstone projects, student competitions, online learning, and more! Download today → https://bit.ly/32eEcuR // 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. Visit today → https://bit.ly/3qsytK2 // 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! Follow today → https://bit.ly/3Bbaaow 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)