Advanced modeFRONTIER Optimization Techniques
Course overview
Advanced modeFRONTIER Optimization Techniques gives the deep knowledge and skills needed to tackle complex multiobjective and multidisciplinary optimization problems. A detailed description of the basic Design of Experiment techniques (DOE), statistical tools, optimization algorithms, Response Surface Methodologies (RSM) and decision support techniques is given by technical presentation and numerical examples. Advanced optimization strategies and distributed resource exploitation are explained by industrial and mathematical examples.
Prerequisites
Not requested
Audience
The primary audience for this course includes new modeFRONTIER user who wants to have a complete and detailed view of all modeFRONTIER functionalities.
Topics
- Introduction to Global Optimization
- Complex Workflow creation
- Experimental data import
- Design of Experiments (DOE) and Statistical analysis: theory and examples
- Single-objective optimization methods and examples
- Multiobjective optimization methods and examples
- Basics of Response Surface Methods (RSM): theory and examples
- Optimization Post-processing (design charts and statistical charts)
- Multi-Criteria Decision Making (MCDM)
- Optimization Reports creation
- Queuing systems and Polling procedures
At the end of the course, the attendee will be able to
- Set up modeFRONTIER projects and import experimental data
- Select the most appropriate optimization strategies for tackling the problem at hand
- Run multiobjective optimization projects
- Create design and statistical charts
- Use MCDM tool
- Interpret multiobjective optimization outcomes
- Create a Reports of the optimization
- Submit analysis to a queuing system and implement polling procedures