Genetic Programming Bibliography entries for Daniel R Lewin
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
GP coauthors/coeditors:
Eyal Dassau,
Benyamin Grosman,
Sivan Lachman-Shalem,
Raaya Swissa,
S Lakshminarayanan,
H Fujii,
Genetic Programming Articles by Daniel R Lewin
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Benyamin Grosman and Daniel R. Lewin.
Lyapunov-based stability analysis automated by genetic programming.
Automatica, 45(1):252-256, 2009.
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Daniel R. Lewin and Sivan Lachman-Shalem and Benyamin Grosman.
The role of process system engineering (PSE) in integrated circuit (IC) manufacturing.
Control Engineering Practice, 15(7):793-802, 2006.
Special Issue on Award Winning Applications, 2005 IFAC World Congress.
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Eyal Dassau and Benyamin Grosman and Daniel R. Lewin.
Modeling and temperature control of rapid thermal processing.
Computers and Chemical Engineering, 30(4):686-697, 2006.
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Benyamin Grosman and Sivan Lachman-Shalem and Raaya Swissa and D. R. Lewin.
Yield enhancement in photolithography through model-based process control: average mode control.
IEEE Transactions on Semiconductor Manufacturing, 18(1):86-93, 2005.
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Benyamin Grosman and Daniel R. Lewin.
Adaptive genetic programming for steady-state process modeling.
Computers \& Chemical Engineering, 28(12):2779-2790, 2004.
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Benyamin Grosman and Daniel R. Lewin.
Automated nonlinear model predictive control using genetic programming.
Computers \& Chemical Engineering, 26(4-5):631-640, 2002.
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S. Lakshminarayanan and H. Fujii and B. Grosman and E. Dassau and D. R. Lewin.
New product design via analysis of historical databases.
Computers \& Chemical Engineering, 24(2-7):671-676, 2000.
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Genetic Programming conference papers by Daniel R Lewin
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B. Grosman and D. R. Lewin.
Lyapunov-based Stability Analysis Automated by Genetic Programming. In
IEEE International Symposium on Computer-Aided Control Systems Design, 2006, pages 766-771, Munich, Germany, 2006. IEEE.
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Daniel R. Lewin and Sivan Lachman-shalem and Benyamin Grosman.
Applications in IC Manufacturing. In
Pavel Zitek editor,
16th IFAC World Congress, Prague, Czech Republic, 2005.
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Benjamin Grosman and Daniel R. Lewin.
MPC using nonlinear models generated by genetic programming. In
Rafiqul Gani and Sten Bay Jorgensen editors,
European Symposium on Computer Aided Process Engineering - 11, 34th European Symposium of the Working Party on Computer Aided Process Engineering, volume 9, pages 663-668, Kolding, Denmark, 2001. Elsevier.
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