In technical applications, you will often face mixed-integer optimization tasks. For example, material sheet thicknesses are often discrete values, material types are categorical, and formulation components are discrete choices, but have continuous amounts. Consequently, in mixed-integer optimization these parameter types need to be handled within nonlinear optimization.
ClearVu Global Optimizer provides you with these capabilities based on suitable extensions of evolution strategies developed by our researchers.
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