SIMULIASimulation
Optimizing Engineering Methods with Isight
This course provides a brief overview of Isight and optimization before discussing nonlinear optimization theories and applications. Topics such as design space searching, multi-objective optimization, optimization strategy, and multidisciplinary optimization are covered. Attendees will learn key differences between the optimization algorithms offered in Isight, how to choose the preferred method based on the problem, how to remedy issues with run-time performance, and other topics relevant to improving the usage and value of Isight for real engineering optimization problems.
- Level
- Advanced
- Length
- 12 hours 10 minutes
- Product
- Isight
- Delivery
- Instructor-led or eLearning
What you will learn
Gain hands-on experience to understand nonlinear optimization theories and techniques:
- How does exploring the design space can assist with optimization
- The capabilities of different optimization techniques and exploration strategies
- Methodologies for Multidisciplinary Design Optimization (MDO)
Topics covered
- Overview - Optimizing Engineering Methods with Isight10 min
- 1 - Review20 min
- 2 - Overview1 hour 20 min
- 3 - Exploration and Gradient Methods50 min
- 4 - Pattern Methods1 hour 40 min
- 5 - Single Objective Exploratory Methods1 hour 10 min
- 6 - Multi Objective Optimization1 hour 10 min
- 7 - Nested Exploration1 hour
- 8 - Optimization Selection Strategy55 min
- 9 - Pointer and Exploration1 hour 30 min
- 10 - Adaptive DOE30 min
- 11 - Multidisciplinary Optimization1 hour 20 min
- 12 - Summary15 min
- Appendices-
Who it is for
Simulation Analysts or Scientists
Prerequisites
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