FAQs
FAQ's related to Optimization, Robustness and Reliability Analysis
- LS-OPT cannot find the output file from the FE preprocessor
- What do the ANOVA bars mean?
- How does "concurrent jobs" work?
- In this article I try to explain how to use the concurrent jobs feature of LS-OPT, and how it behaves in different setups.
- Which meta model to choose?
- Remarks and hints on selection of Meta-Model
- Setting parameters in the Genetic algorithm
- The default parameters in GA should therefore be adequate for most problems. However, if the user needs to explore different methods, the following parameters may be set for GA. These are only available in the command input file.
- Setting parameters for metamodel-based optimization strategies
- There are three recommended strategies for automating the metamodel-based optimization procedure. These strategies apply to the tasks: Metamodel-based Optimization and RBDO.
- Can LS-OPT handle discrete variables?
- How can I ensure that LS-OPT replaces the variables in the input file by integer values?
- I defined a discrete variable with a list of integer values, but LS-OPT replaces the variables in the input file by e.g. 1. with a dot.
- What do I have to consider when running LS-OPT on Windows?
- Constrained space filling - Move option
- In this part, we’ll look deeper into how the space filling point sampling algorithm has been improved in LS-OPT 4.2. Also, the elusive Move option for constraints will be explained.
- Curve Matching Metrics
- Managing disk space during run time
- During a successive approximation procedure, superfluous data can be erased after each run while keeping all the necessary data and status files.
- Result extraction for LS-DYNA input files using *CASE
- How can I define in LS-OPT which output files are used for result extraction if I have mutliple output results files because of *CASE?
- Probabilistic Variables: What is the difference between control and noise variables?
- A probabilistic variable is completely described using a statistical distribution. The statistical distribution defines the mean or nominal value as well as the variation around this nominal value.
- How does the point selection algorithm work for probabilistic variables?
- How can I determine the time value where a history curve takes a specific value?
