Advanced Optimization Course
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During this advanced training, we address optimization techniques for general problems with a special focus on engineering design loops, and we use Dakota as the optimization engine. During this training, we deal with gradient-based methods, derivative-free methods and surrogate-based optimization (SBO). We also address how to conduct parametrical studies and design of experiments as part of design space exploration (DSE), and we show how to do exploratory data analysis and automatic knowledge extraction techniques. In this training, we also address code coupling Dakota-OpenFOAM, where we show how to use OpenFOAM as a black-box tool in an optimization loop. We also show how to conduct cloud based geometry parametrization using Dakota-Onshape.
Topics to be covered:
Optimization methods - Theoretical background.
Dakota overview.
Design and analysis of computer experiments and sensitivity analysis.
Single and multi-objective optimization.
Surrogate based optimization.
Exploratory data analysis and data analytics.
Knowledge extraction
Parametrization and advanced scripting.
Gentle introduction to Python and pandas.
Code coupling Dakota-OpenFOAM.
Cloud based geometry parametrization using Dakota-Python-Onshape.
As CFD optimization relies on automation and parametrization of the geometry generation and mesh generation process, it is highly advisable to follow the multi-day advanced OpenFOAM meshing training or have a good knowledge in meshing using OpenFOAM technology.
Modality: online, classroom and onsite.
Location (classroom): DICCA, University of Genova, (via Montallegro 1, 16145 Genova, Italy). This classroom training is offered in cooperation with the University of Genova.
Instructors: Joel Guerrero
Language: English
Teaching method: lectures and hands-on sessions to validate the acquired knowledge. A training certificate is provided to all attendees who complete the course.
Timetable - Classroom option: The duration of the classroom course is 1 day (eight hours). The course starts at 9.00 am and ends at 5.00 pm.
Timetable - Online option: The online course is split into 3 non-consecutive days (for nine hours in total).
For more information, send an email to This email address is being protected from spambots. You need JavaScript enabled to view it.
Disclaimer
Wolf Dynamics makes no warranty, express or implied, about the completeness, accuracy, reliability, suitability, or usefulness of the information disclosed in this training material. This training material is intended to provide general information only. Any reliance the final user place on this training material is therefore strictly at his/her own risk. Under no circumstances and under no legal theory shall Wolf Dynamics be liable for any loss, damage or injury, arising directly or indirectly from the use or misuse of the information contained in this training material.