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One of the main advantages of simulation-based optimization is that it not necessary to provide analytical expression of objective and constraints function as in the case of mathematical optimization.
In such an application, it is used to compute the dynamical constraints function during the integrated design process of the whole drive including the generator, the gearbox and the power converters.
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Further, we denote by the set of inequality constraint functions active at and by the objective functions indices set, for which the corresponding Lagrange multiplier is not equal.
The paper describes dependencies between constraints, functions and strategies.
Naturally, the composed method requires a high-quality dataset of motions and the formulation of proper objective and constraints functions.
U i, G + 1 refuses constraint function values greater than the V i,G value and rejects these constraint functions without reassessment.
The constraint function is reconstructed to improve the efficiency of reliability analysis.
An empirical model is therefore selected to describe a real design constraint function.
In order to solve this problem, the constraint function in (10) needs to be modified.
In formula (2) constraint function to add an opportunistic to calculate the driver.
In this subsection, we define a constraint function for the head angle of the robot.
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