4.5.3 SIESTA Optimizer Module

The SIESTA framework includes a module for optimization tasks. In this module a complete optimization loop with model evaluation can be performed.

For definition of an optimization the following data is required:

Model: The model function is a series of various simulators and data manipulations. The result of the model is the target function^4.8.

Parameter ranges: For a successful optimization a good start value and the minimum and maximum values of the parameters have to be supplied to the optimizer.

Settings for the optimizer: For the optimizer the information of the termination condition is defined.

All these data are given to the SIESTA framework by the experiment file. An example of a calibration task is given in Section 4.5.4 and for an optimization task with nonlinear constraints in Section 4.5.5.

Footnotes

... function^4.8

For the nonlinear optimizer also the inequality constraints and equality constraints are results of the model