Start A methodology for fitting and validating metamodels in simulation

A methodology for fitting and validating metamodels in simulation

Simulation of a system is represented as the running of the system's model.

In mathematics, computer science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) refers to the selection of a best element from some set of available alternatives.

In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function.

The object that the metaobject is about is called the base object.

Some information that a metaobject might store is the base object's type, interface, class, methods, attributes, variables, functions, control structures, etc.

The term automotive industry usually does not include industries dedicated to automobiles after delivery to the customer, such as repair shops and motor fuel filling stations.

In computer science, a metaobject or meta-object is any entity that manipulates, creates, describes, or implements other objects.

Various types of metamodels include polynomial equations, neural network, Kriging, etc.