Automatic reactor model synthesis with genetic programming

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@Article{Duerrenmatt:2012:WST,
  author =       "David J. Duerrenmatt and Willi Gujer",
  title =        "Automatic reactor model synthesis with genetic
                 programming",
  journal =      "Water Science \& Technology",
  year =         "2012",
  volume =       "65",
  number =       "4",
  pages =        "765--772",
  keywords =     "genetic algorithms, genetic programming, grammar-based
                 genetic programming, hydraulic reactor systems,
                 modelling, operating data",
  ISSN =         "0273-1223",
  URL =          "http://www.iwaponline.com/wst/06504/0765/065040765.pdf",
  DOI =          "doi:10.2166/wst.2012.913",
  size =         "8 pages",
  abstract =     "Successful modelling of waste water treatment plant
                 (WWTP) processes requires an accurate description of
                 the plant hydraulics. Common methods such as tracer
                 experiments are difficult and costly and thus have
                 limited applicability in practice; engineers are often
                 forced to rely on their experience only. An
                 implementation of grammar-based genetic programming
                 with an encoding to represent hydraulic reactor models
                 as program trees should fill this gap: The encoding
                 enables the algorithm to construct arbitrary reactor
                 models compatible with common software used for WWTP
                 modeling by linking building blocks, such as continuous
                 stirred-tank reactors. Discharge measurements and
                 influent and effluent concentrations are the only
                 required inputs. As shown in a synthetic example, the
                 technique can be used to identify a set of reactor
                 models that perform equally well. Instead of being
                 guided by experience, the most suitable model can now
                 be chosen by the engineer from the set. In a second
                 example, temperature measurements at the influent and
                 effluent of a primary clarifier are used to generate a
                 reactor model. A virtual tracer experiment performed on
                 the reactor model has good agreement with a tracer
                 experiment performed on-site.",
  notes =        "Sewage treatment plant",
}

Genetic Programming entries for David J Duerrenmatt Willi Gujer

Citations