|In the scenario developed below, the simulated annealing
algorithm is used with constraints and without objective function to search
for a set of xA, xB, yA and yB parameters so that the inertia axis of the
pad remains within an area defined by two circles.
Here are the circle definitions as they are specified as constraints in the scenario below:
Y**2 + Z**2 < 8100mm2
Y**2 + Z**2 < 1000mm2
When you are finished with this part of the scenario, the gradient algorithm is used to find a set of xA, xB, yA and yB so that the distance of the inertia axis to the origin is minimum. This second part of the scenario requires that the constraints are fulfilled.
|Note that it is possible to use constraints without objective (Simulated Annealing only) or with objective (available for both algorithms.)|