An investigation on stream temperature analysis based on evolutionary computing

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Doglioni:2008:HP,
  author =       "A. Doglioni and O. Giustolisi and D. A. Savic and 
                 B. W. Webb",
  title =        "An investigation on stream temperature analysis based
                 on evolutionary computing",
  journal =      "Hydrological Processes",
  year =         "2008",
  volume =       "22",
  number =       "3",
  pages =        "315--326",
  month =        "30 " # jan,
  publisher =    "John Wiley & Sons, Ltd.",
  keywords =     "genetic algorithms, genetic programming, data-driven,
                 evolutionary modelling, multiobjective optimisation,
                 thermal dynamics, on-line prediction, simulation",
  ISSN =         "1099-1085",
  URL =          "http://dx.doi.org/10.1002/hyp.6607",
  DOI =          "doi:10.1002/hyp.6607",
  size =         "12 pages",
  abstract =     "The data-driven technique, evolutionary polynomial
                 regression, has been tested and used for the study of
                 water temperature behaviour in the River Barle
                 (south-west England). The study aimed to produce
                 multiple models for forecasting water temperature,
                 using air temperature as input. In addition, river
                 discharge data were used to describe the hydrological
                 regime of the study stream, even if they are not
                 involved in the modelling phase. The availability of
                 data sampled at hourly intervals allowed behaviour to
                 be studied at several time scales, including short-term
                 lags between air temperature and water temperature. The
                 approach to model building differs from previous
                 studies in that the relationship between air
                 temperature and water temperature is not evaluated on
                 the basis of a multi-parameter regression, nor does it
                 identify particular structures; rather the evolutionary
                 technique identifies the model by itself. In fact, the
                 non-linear relationship between air temperature and
                 water temperature is investigated by an evolutionary
                 search in the space of particular pseudo-polynomials
                 structures.",
}

Genetic Programming entries for Angelo Doglioni Orazio Giustolisi Dragan Savic Bruce Webb

Citations