Abstract
The doping profile optimization in semiconductor has been tackled as a constrained optimization problem coupled with a drift-diffusion model to simulate the physical phenomenon. In order to design high performance semiconductor devices, a new immunological algorithm, the Constrained Immunological Algorithm (cIA), has been introduced. The experimental results confirm that cIA clearly outperforms previous state-of-the-art algorithms in doping profile optimization.
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Stracquadanio, G., Drago, C., Romano, V., Nicosia, G. (2010). An Immunological Algorithm for Doping Profile Optimization in Semiconductors Design. In: Hart, E., McEwan, C., Timmis, J., Hone, A. (eds) Artificial Immune Systems. ICARIS 2010. Lecture Notes in Computer Science, vol 6209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14547-6_17
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DOI: https://doi.org/10.1007/978-3-642-14547-6_17
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