Design optimization is the process of finding the best design parameters that satisfy project requirements. Engineers typically use design of experiments (DOE), statistics, and optimization techniques to evaluate trade-offs and determine the best design. Design optimization often involves working in multiple design environments in order to evaluate the effects that design parameters have across interrelated physical domains.
MATLAB® lets you import design data from a wide variety of file formats such as spreadsheets, text files, binary files, and other applications. You can perform sensitivity analysis, parameter tuning, and design optimization from MATLAB and Simulink®. Simulink is integrated with MATLAB, and provides tools for modeling, simulating, and optimizing multidomain dynamic systems.
MATLAB and Simulink add-on products further extend design optimization capabilities: