Dynamic Index Trading using a Gene Regulatory Network Model

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Miguel Nicolau and Michael O'Neill and 
                 Anthony Brabazon",
  title =        "Dynamic Index Trading using a Gene Regulatory Network
  booktitle =    "17th European Conference, EvoApplications 2014
                 Proceedings of EvoFIN",
  editor =       "Anna Isabel Esparcia-Alcazar and Antonio Miguel Mora",
  pages =        "251--263",
  year =         "2014",
  volume =       "8602",
  series =       "LNCS",
  address =      "Granada, Spain",
  month =        apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/978-3-662-45523-4_21",
  abstract =     "This paper presents a realistic study of applying a
                 gene regulatory model to financial prediction. The
                 combined adaptation of evolutionary and developmental
                 processes used in the model highlight its suitability
                 to dynamic domains, and the results obtained show the
                 potential of this approach for real-world trading.",

Genetic Programming entries for Miguel Nicolau Michael O'Neill Anthony Brabazon