Gridded Full Search algorithm is probably the simplest optimization algorithm. It simply evaluates the cost function of various user defined combinations of calibration parameters. It gives as output the calibration parameters combination with the smallest cost.
To use this algorithm in OpenDA, a user needs to define the ranges of calibration parameters. There are three algorithm parameters to specify the set of calibration parameters to evaluate: min, max and step. Algorithm parameter min specifies a vector of minimum values of the calibration parameters, max the maximum values, and step the increment of parameters values. For more than one calibration parameters, this algorithm will evaluate all possible combination of parameters values as specified in the input file.