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An immunological algorithm for doping profile optimization in semiconductors design

Stracquadanio, G and Drago, C and Romano, V and Nicosia, G (2010) An immunological algorithm for doping profile optimization in semiconductors design. In: UNSPECIFIED, ? - ?.

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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. © 2010 Springer-Verlag Berlin Heidelberg.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Giovanni Stracquadanio
Date Deposited: 13 Feb 2017 13:57
Last Modified: 30 Jan 2019 16:16
URI: http://repository.essex.ac.uk/id/eprint/18709

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