Performing Global Optimization

Global optimization involves the automatic adjustment of system parameters to maximize or minimize a specified quantity, while satisfying one or more global constraints.

During global optimization, the parameter vector is iteratively updated such that the cost function generally decreases until it finds a minimum. The resulting parameter values become the optimum values because they minimize the cost function.