Multi criteria optimization is widely required: Whether it is cost and quality, or technical criteria such as lift and drag in aerospace engineering, tumble and mass flow of an engine gas inlet nozzle, etc.

In many cases there is not one optimal solution, but many possible compromises where one aspect can only be improved at the expense of another one. These compromises are located on a so-called Pareto front which can be generated by means of a multi-criteria optimization. As a user, you can choose the solution from the Pareto-front that fits best for your requirements.

ClearVu Global Optimizer contains a powerful extension for multi-criteria optimization which fills the Pareto front as widely spread as possible with as few function evaluations as possible, so that all extreme solutions are available.

This tool can also be applied for high-dimensional and time consuming objective functions.

Mixed-integer optimization is a common task of product development and process control. For example, thickness is a discrete value, different materials are categorical values, and formulation components can be chosen discretely, but added continuously. Thus, mixed-integer optimization requires the handling of these parameter types within non-linear optimization.

ClearVu Global Optimizer meets these requirements based on suitable extensions of evolutionary strategies.