ClearVu Global Optimizer Features

Solving complex problems efficiently

The table below summarizes the key features of ClearVu Global Optimizer V2.0:

Feature	Description
Application domain	Nonlinear global optimization Low to high-dimensional objective functions (5 to beyond 100 parameters)
Parameter types of objective function	Continuous as well as mixed-integer parameters
Objective functions	Simulation models (even including very long runtimes), mathematical objective functions, model based objective functions
Constraints	Simple box-constraints Linear and nonlinear constraints on model outputs
Multiple objective optimization	Powerful method for multiple objective optimization integrated Approximation of the whole Pareto front
Handling	Due to self-adaptation of strategy parameters easily applicable (no expert knowledge in optimization required)
Optimization algorithm	Based on state-of-the-art evolution strategies (i.e., no simple genetic algorithm)

06.05.2013

New version of data analysis and meta-modeling tool with enhanced performance and...

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