An evolutionary approach to identification problems with incomplete output data

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@InProceedings{Imae:2008:SICE,

• author = "Joe Imae and Yasuhiko Morita and Guisheng Zhai and Tomoaki Kobayashi",
• title = "An evolutionary approach to identification problems with incomplete output data",
• booktitle = "SICE Annual Conference",
• year = "2008",
• month = "20-22 " # aug,
• address = "Japan",
• pages = "2262--2265",
• keywords = "genetic algorithms, genetic programming, evolutionary algorithm, nonlinear system identification problems, identification, nonlinear control systems",
• DOI = "doi:10.1109/SICE.2008.4655041",
• abstract = "In this paper, we consider nonlinear system identification problems in the case where output data is incomplete. We propose an identification method based on an evolutionary algorithm, which is a fusion of a genetic algorithm (GA) and genetic programming (GP), and illustrate the effectiveness of the proposed method through a simulation and an experiment with a cart.",
• notes = "Also known as \cite{4655041}",

}

Genetic Programming entries for Joe Imae Yasuhiko Morita Guisheng Zhai Tomoaki Kobayashi

Citations