Specifications

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1. Decide on a search direction.
2. Perform a linear search to find the minimum along the chosen direction.
This means that it is only necessary to perform analyses of the function values at the points that the
algorithm actually visits and not all points in a predefined grid as we did in the parameter study. It also
means that the algorithm depends on the smoothness of the surface when it decides on a direction to take
in step 1, but once the direction has been chosen, the line search in step 2 can be done with methods that
do not predispose smoothness.
Now that we know what to expect, we can proceed to the actual definition of the optimization study. The
previous definition of the parameter study will help us a lot because an optimization study has almost
exactly the same structure. So the first step would be to simply copy the parameter study:
AnyParamStudy ParamStudy = {
Analysis = {
AnyOperation &Operation = ..Study.InverseDynamicAnalysis;
};
nStep = {5,5};
AnyDesVar SaddleHeight = {
Val = Main.BikeParameters.SaddleHeight;
Min = Val - 0.05;
Max = Val + 0.03;
};
AnyDesVar SaddlePos = {
Val = Main.BikeParameters.SaddlePos;
Min = Val - 0.07;
Max = Val + 0.10;
};
AnyDesMeasure MaxAct = {
Val = max(..Study.MaxAct());
};
};
AnyParamStudy ParamStudy = {
Analysis = {
AnyOperation &Operation = ..Study.InverseDynamicAnalysis;
};
nStep = {5,5};
AnyDesVar SaddleHeight = {
Val = Main.BikeParameters.SaddleHeight;
Min = Val - 0.05;
Max = Val + 0.03;
};
AnyDesVar SaddlePos = {
Val = Main.BikeParameters.SaddlePos;
Min = Val - 0.07;
Max = Val + 0.10;
};
AnyDesMeasure MaxAct = {
Val = max(..Study.MaxAct());
};
AnyDesMeasure Metab = {
Val = secint(..Study.Metabolism(),..Study.tArray);
};
};
We proceed to change a few parameters:
AnyOptStudy OptStudy = {
Analysis = {