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Genetic algorithm for optimization and calibration in process simulation

Genetischer Algorithmus zur Optimierung und Kalibrierung in der Prozeßsimulation
 
: Fühner, T.; Erdmann, A.; Ortiz, C.J.; Lorenz, J.

Wachutka, G.:
Simulation of Semiconductor Processes and Devices 2004
Wien: Springer, 2004
ISBN: 3-211-22468-8
pp.347-350
International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) <2004, München>
English
Conference Paper
Fraunhofer IISB ()
genetic algorithm; process simulation; calibration; diffusion model; lithography simulation

Abstract
This paper proposes the use of genetic algorithms for process optimization and calibration of model parameters. The main principles of these evolution inspired optimizers are briefly explained. Afterwards, their application to two process simulation tasks is presented: (1) a layout problem in lithography processes and (2) the extraction of physical parameters of a diffusion model. The obtained results are shortly discussed.

: http://publica.fraunhofer.de/documents/N-23671.html