Extraction of Process Model Parameters Based on Distributed Genetic Algorithms
نویسندگان
چکیده
In this paper, we present a GA (Genetic Algorithm) application for process model calibration. We propose a distributed GA-based calibration technique combined with the traditional local optimization algorithm, which reduces calibration time considerably. Experimental results on a PC cluster system (eight PCs) demonstrate that the calibration of 144 parameters can be completed within a few minutes, although this would typically take a human expert a few days. GA can, therefore, be a practical and robust tool for process/device calibration.
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