Applying Genetic Regulatory Networks to Index Trading

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

  author =       "Miguel Nicolau and Michael O'Neill and 
                 Anthony Brabazon",
  title =        "Applying Genetic Regulatory Networks to Index
  booktitle =    "Parallel Problem Solving from Nature, PPSN XII (part
  year =         "2012",
  editor =       "Carlos A. {Coello Coello} and Vincenzo Cutello and 
                 Kalyanmoy Deb and Stephanie Forrest and 
                 Giuseppe Nicosia and Mario Pavone",
  volume =       "7492",
  series =       "Lecture Notes in Computer Science",
  pages =        "428--437",
  address =      "Taormina, Italy",
  month =        sep # " 1-5",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, index
                 trading, finance",
  isbn13 =       "978-3-642-32964-7",
  DOI =          "doi:10.1007/978-3-642-32964-7_43",
  size =         "10 pages",
  abstract =     "This paper explores the computational power of genetic
                 regulatory network models, and the practicalities of
                 applying these to real-world problems. The specific
                 domain of financial trading is tackled; this is a
                 problem where time-dependent decisions are critical,
                 and as such benefits from the differential gene
                 expression that these networks provide. The results
                 obtained are on par with the best found in the
                 literature, and highlight the applicability of these
                 models to this type of problem.",
  bibsource =    "DBLP,",
  affiliation =  "Natural Computing Research and Applications Group,
                 University College Dublin, Ireland",

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