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Adaptive genetic programming for steady-state process modeling

Published:2004-11 Issue:12 Volume:28 Page:2779-2790
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Grosman Benyamin,Lewin Daniel R.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference22 articles.

1. Deadly silk—spiderwebs;Conniff;National Geographic,2001

2. Dassau, E. (2002). Feedback control of rapid thermal processing (RTP). M.Sc. Thesis, Technion (in Hebrew).

3. Elements of chemical reaction engineering;Fogler,1998

4. Artificial intelligence through a simulation of evolution;Fogel,1965

5. Genetic algorithms in search optimization and machine learning;Goldberg,1989

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1. Combined mechanistic and genetic programming approach to modeling pilot NBR production: influence of feed compositions on rubber Mooney viscosity;RSC Advances;2021

2. Genetic Programing for Modeling of Industrial Reactors;Profit Maximization Techniques for Operating Chemical Plants;2020-05-22

3. Genetic Programming Applications in Chemical Sciences and Engineering;Handbook of Genetic Programming Applications;2015

4. Modelling and prediction of complex non-linear processes by using Pareto multi-objective genetic programming;International Journal of Systems Science;2014-08-07

5. Genetic programming using dynamic population variation for computational efforts reduction in system modeling;Journal of Shanghai Jiaotong University (Science);2012-04

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