In numerous applications across all science and engineering areas, there are optimization
problems where both the objective function and the constraints have no closed-form …

Many science and engineering applications feature non-convex optimization problems
where the objective function cannot be handled analytically, ie it is a black box. Examples …

In the presence of uncertainty, the optimum obtained based on a nominal identified model
can neither provide any performance guarantee nor ensure that critical constraints are …

We propose a technique for global optimization considering black-box cost function and
constraints, which have to be learned from data during the optimization process, arising for …

The problem of controller tuning is a challenging question for practitioners, especially when
industrial plants are involved. In such plants, different physical mechanisms come into play …

Abstract Model-based optimization typically obtains the optimum based on a nominal
identified model. However, in the presence of uncertainty, the nominal optimum leads to …

For passive radar system, the distance and speed of target can be determined by locating
the peak of cross ambiguity function between the reference signal and the echo signal …

The optimization of pulse patterns is a crucial problem in the field of modulation techniques
in electrical drives. This problem is challenging due to its high dimensionality and non …