This section is dedicated to DAKOTA tutorials. Some of these tutorials are available at no cost, while others have a relatively affordable price.
The effort required to create, document, and comment on these tutorials is significant, and the knowledge involved has been accumulated through years of application and study. For these reasons, we request a small contribution for downloading them.
They are divided by analysis type and model characteristic. Some of them have a didactical pourpose while some others explain tips & triks in optimization analysis and more ..
In any case you need to compile the form even to download free of charge tutorials.
Optimization algorithm
A didactical explenation of different optimization process.
Optimization using Genetic Algorithm
A Genetic Algorithm applied to find the absolute minimum of a bidimensional function.
Didactical tutorial for various types of Optimization
The classical water heater examples solved in different way for didactical pourposes.
Optimization using Genetic Algorithm
A Genetic Algorithm applied to minimize the copper mass coil in a electromagnetic actuator.
Optimization using Genetic Algorithm
A Genetic Algorithm applied to minimize the error respect a tensile dog bone test for a rubber material.
Optimization of a rim wheel
An optimization process applied to the rim wheel weight under some specific loads. A genetic algorithm had been used.
Uncertainy Quantification
Uncertain Quantification as results of tollerancies in a bistable electromagnetic valve.
Under construction…
This section will be ready soon and many other tutorials will be loaded …