A Linear-in-Parameters Genetic Programming Method for Chemical Kinetics System Identification

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@InProceedings{Zhang:2019:ICISCAE,

• author = "Zhengfeng Zhang and Yan Zhou",
• title = "A Linear-in-Parameters Genetic Programming Method for Chemical Kinetics System Identification",
• booktitle = "2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE)",
• year = "2019",
• pages = "169--173",
• month = sep,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ICISCAE48440.2019.221611",
• abstract = "This paper proposed an improved linear-in-parameters based genetic programming method for the chemical kinetics system modeling. To make the search space suitable for chemical kinetics modeling a functional library with basic chemical kinetics items is built. The proposed method was then applied into several simulated nonlinear chemical kinetics procedures. Results indicated that by designing its function library, the identified model can be behavioural and phenomenological for the chemical kinetics models and the identified model can produce convincing reaction rates.",
• notes = "Also known as \cite{9075716}",

}

Genetic Programming entries for Zhengfeng Zhang Yan Zhou

Citations