Multi-gene genetic programming based predictive models for municipal solid waste gasification in a fluidized bed gasifier

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@Article{Pandey:2015:BT,
  author =       "Daya Shankar Pandey and Indranil Pan and 
                 Saptarshi Das and James J. Leahy and Witold Kwapinski",
  title =        "Multi-gene genetic programming based predictive models
                 for municipal solid waste gasification in a fluidized
                 bed gasifier",
  journal =      "Bioresource Technology",
  volume =       "179",
  pages =        "524--533",
  year =         "2015",
  keywords =     "genetic algorithms, genetic programming, Municipal
                 solid waste, Gasification, Fluidised bed gasifier",
  ISSN =         "0960-8524",
  DOI =          "doi:10.1016/j.biortech.2014.12.048",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0960852414017933",
  abstract =     "A multi-gene genetic programming technique is proposed
                 as a new method to predict syngas yield production and
                 the lower heating value for municipal solid waste
                 gasification in a fluidised bed gasifier. The study
                 shows that the predicted outputs of the municipal solid
                 waste gasification process are in good agreement with
                 the experimental dataset and also generalise well to
                 validation (untrained) data. Published experimental
                 datasets are used for model training and validation
                 purposes. The results show the effectiveness of the
                 genetic programming technique for solving complex
                 nonlinear regression problems. The multi-gene genetic
                 programming are also compared with a single-gene
                 genetic programming model to show the relative merits
                 and demerits of the technique. This study demonstrates
                 that the genetic programming based data-driven
                 modelling strategy can be a good candidate for
                 developing models for other types of fuels as well.",
}

Genetic Programming entries for Daya Shankar Pandey Indranil Pan Saptarshi Das James J Leahy Witold Kwapinski

Citations