Modelling a Transformer Oil Regeneration Process Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Hanselmann:1996:Chemeca,

• author = "K. Hanselmann and G. W. Barton and B. McKay and M. J. Willis",
• title = "Modelling a Transformer Oil Regeneration Process Using Genetic Programming",
• booktitle = "Chemeca 96: Excellence in Chemical Engineering; Proceedings of the 24th Australian and New Zealand Chemical Engineering Conference and Exhibition",
• year = "1996",
• editor = "Gordon Weiss",
• number = "96/13",
• series = "National conference publication",
• pages = "9--84 [in volume 2]",
• address = "Barton, ACT, Australia",
• publisher_address = "Australia",
• publisher = "Institution of Engineers",
• keywords = "genetic algorithms, genetic programming, Data processing, Neural networks (Computer science), Mathematical models, Linear programming, Mathematical models, Offshore oil industry, Electric insulators and insulation, Oils",
• ISBN = "0-85825-658-4",
• URL = "http://search.informit.com.au/documentSummary;dn=894065266629714;res=IELENG",
• abstract = "Genetic programming and neural network techniques were both used to predict the product distribution and yield of product oil from a reactor in a transformer oil regeneration process. All reactor models were developed by fitting laboratory-scale data. For the (relatively) small experimental data set available, it was found that the accuracy of the reactor model was significantly better when using genetic programming than neural network modelling techniques. A flowsheet of a pilot-scale version of the process was developed (using commercial simulation packages) based on the reactor model obtained using genetic programming, and the optimal operating conditions determined so as to give the maximum yield of regenerated transformer oil.",
• notes = "Broken Sep 2018 http://lorien.ncl.ac.uk/ming/infer/inferrefs.htm (1) CSIRO Division of Coal and Energy Technology, Lucas Heights, Sydney, Australia (2) Department of Chemical Engineering, University of Sydney, Australia (3) Department of Chemical Engineering, University of Sydney, Australia (4) Department of Chemical and Process Engineering, University of Newcastle, UK",

}

Genetic Programming entries for K Hanselmann Geoffrey W Barton Ben McKay Mark J Willis

Citations