An immunological algorithm for doping profile optimization in semiconductors design

Giovanni Stracquadanio*, Concetta Drago, Vittorio Romano, Giuseppe Nicosia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.

Original languageEnglish
Title of host publicationArtificial Immune Systems - 9th International Conference, ICARIS 2010, Proceedings
Pages213-222
Number of pages10
DOIs
Publication statusPublished - 27 Aug 2010
Event9th International Conference on Artificial Immune Systems, ICARIS 2010 - Edinburgh, United Kingdom
Duration: 26 Jul 201029 Jul 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6209 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Artificial Immune Systems, ICARIS 2010
Country/TerritoryUnited Kingdom
CityEdinburgh
Period26/07/1029/07/10

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