Season Algorithm-Multigene Genetic Programming: A New Approach for Rainfall-Runoff Modelling

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Ali {Danandeh Mehr} and Vahid Nourani",
  title =        "Season Algorithm-Multigene Genetic Programming: A New
                 Approach for Rainfall-Runoff Modelling",
  journal =      "Water Resources Management",
  year =         "2018",
  volume =       "32",
  number =       "8",
  pages =        "2665--2679",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, multigene
                 genetic programming",
  ISSN =         "1573-1650",
  DOI =          "doi:10.1007/s11269-018-1951-3",
  abstract =     "Genetic programming (GP) is recognized as a robust
                 machine learning method for rainfall-runoff modelling.
                 However, it may produce lagged forecasts if
                 autocorrelation feature of runoff series is not taken
                 carefully into account. To enhance timing accuracy of
                 GP-based rainfall-runoff models, the paper proposes a
                 new rainfall-runoff model that integrates season
                 algorithm (SA) with multigene-GP (MGGP). The proposed
                 SA-MGGP model was trained and validated for single- and
                 two- and three-day ahead streamflow forecasts at
                 Haldizen Catchment, Trabzon, Turkey. Timing and
                 prediction accuracy of the proposed model were assessed
                 in terms of different efficiency criteria. In addition,
                 the efficiency results were compared to those of
                 monolithic GP, MGGP, and SA-GP forecasting models
                 developed in the present study as the benchmarks. The
                 outcomes indicated that SA augments timing accuracy of
                 GP-based models in the range 250percent to 500percent.
                 It is also found that MGGP may identify underlying
                 structure of the rainfall-runoff process slightly
                 better than monolithic GP at the study catchment.",

Genetic Programming entries for Ali Danandeh Mehr Vahid Nourani