Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming

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@InProceedings{Bernardino:2011:ICARIS,
  author =       "Heder S. Bernardino and Helio J. C. Barbosa",
  title =        "Inferring Systems of Ordinary Differential Equations
                 via Grammar-Based Immune Programming",
  booktitle =    "Proceedings of the International Conference on
                 Artificial Immune Systems (ICARIS)",
  year =         "2011",
  editor =       "Pietro Lio and Giuseppe Nicosia and Thomas Stibor",
  volume =       "6825",
  series =       "Lecture Notes in Computer Science",
  pages =        "198--211",
  address =      "Cambridge, UK",
  month =        jul # " 18-21",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-22370-9",
  URL =          "http://dx.doi.org/10.1007/978-3-642-22371-6_19",
  DOI =          "doi:10.1007/978-3-642-22371-6_19",
  abstract =     "Grammar-based Immune Programming (GIP) is a method for
                 evolving programs in an arbitrary language using an
                 immunological inspiration. GIP is applied here to solve
                 the relevant modelling problem of finding a system of
                 differential equations, in analytical form, which
                 better explains a given set of data obtained from a
                 certain phenomenon. Computational experiments are
                 performed to evaluate the approach, showing that GIP is
                 an efficient technique for symbolic modelling.",
  language =     "English",
}

Genetic Programming entries for Heder Soares Bernardino Helio J C Barbosa

Citations