Genetic programming and floating boom performance

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

@Article{Castro:2015:OE,
  author =       "A. Castro and J. L. Perez and J. R. Rabunal and 
                 G. Iglesias",
  title =        "Genetic programming and floating boom performance",
  journal =      "Ocean Engineering",
  volume =       "104",
  pages =        "310--318",
  year =         "2015",
  ISSN =         "0029-8018",
  DOI =          "doi:10.1016/j.oceaneng.2015.05.023",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0029801815002073",
  abstract =     "In this paper the performance of floating booms under
                 waves and currents is investigated by means of genetic
                 programming (GP). This artificial intelligence (AI)
                 technique is used to establish a mathematical
                 expression of the significant effective draft, an
                 essential parameter in predicting the containment
                 capability of floating booms, and more specifically the
                 occurrence of drainage failure. Obtained by applying GP
                 to a comprehensive dataset of wave-current flume
                 experiments, the expression makes the relationships
                 among the relevant variables explicit - an advantage
                 relative to other AI techniques such as artificial
                 neural networks (ANN). The expression was selected as
                 the most adequate to represent this physical problem
                 from various expressions generated in two different
                 stages in which dimensional and dimensionless variables
                 were considered as input and output variables
                 respectively. The most representative expressions
                 obtained in both stages are presented and compared
                 taking into account their goodness-of-fit, physical
                 meaning, coherence and complexity. In addition, the
                 adjustment with the experimental data obtained with
                 these expressions is also discussed and compared with a
                 previously developed ANN model.",
  keywords =     "genetic algorithms, genetic programming, Floating
                 booms, Drainage failure, Effective draft, Physical
                 model",
}

Genetic Programming entries for Alberte Castro Ponte J L Perez J R Rabunal G Iglesias

Citations