optiSLang automatically identifies the relevant input and output parameters and quantifies the forecast quality with the help of the Coefficient of Prognosis ( CoP) and the Metamodel of Optimal Prognosis (MOP). A predictable prognosis quality is the key to an efficient optimization. Thus, a "no run too much" philosophy can be implemented to minimize solver calls. As a consequence, even optimization tasks involving a large number of variables, scattering parameter as well as non-linear system behavior can be solved.
1.99GB
1.99GB