An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

@Article{Smith200834,
  author =       "Stephen L. Smith and Jon Timmis",
  title =        "An immune network inspired evolutionary algorithm for
                 the diagnosis of Parkinson's disease",
  journal =      "Biosystems",
  volume =       "94",
  number =       "1-2",
  pages =        "34--46",
  year =         "2008",
  note =         "Seventh International Workshop on Information
                 Processing in Cells and Tissues - IPCAT 2007",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 algorithms, Artificial immune systems, Immune networks,
                 Parkinson's disease",
  URL =          "http://www.sciencedirect.com/science/article/B6T2K-4ST3YNH-5/2/5f4eadc8fcbfdbfc78c2004eaf768812",
  DOI =          "doi:10.1016/j.biosystems.2008.05.024",
  abstract =     "This paper presents a novel evolutionary algorithm
                 inspired by protein/substrate binding exploited in
                 enzyme genetic programming (EGP) and artificial immune
                 networks. The immune network-inspired evolutionary
                 algorithm has been developed in direct response to an
                 application in clinical neurology, the diagnosis of
                 Parkinson's disease. The inspiration for, and
                 implementation of the algorithm is described and its
                 performance to the application area considered.",
}

Genetic Programming entries for Stephen L Smith Jon Timmis

Citations