Abstract
The concept of a partial automated design optimization and its first application on the improvement of a micropump is described. Starting with an analog simulation model, described in the HDL-A language, parameters of this model are modified using evolutionary algorithms until an improved behaviour of the system is reached. As the quality of the optimization depends highly on the quality of the simulation model, we describe a concept for improving the analog simulation model by using FEM-simulation results and evolutionary algorithms. The described methode is applicable to optimize the design of various (micro)systems. Our first application was the optimization of a thermo-pneumatic-driven micropump.
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