Issues in Applying Computational Intelligence

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Arthur Kordon",
  title =        "Issues in Applying Computational Intelligence",
  journal =      "SIGEVOlution newsletter of the ACM Special Interest
                 Group on Genetic and Evolutionary Computation",
  year =         "2009",
  volume =       "4",
  number =       "3",
  pages =        "2--14",
  note =         "The Dow Chemical Company",
  email =        "",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1931-8499",
  URL =          "",
  size =         "12 pages",
  abstract =     "Applying any emerging technology is not trivial and
                 requires some level of risk-taking even when the
                 competitive advantage is clear. In the case of
                 computational intelligence the process is even harder
                 due to the different nature of the comprising methods,
                 the lack of marketing, affordable professional tools
                 and application methodology. Another important factor
                 slowing down computational intelligence applications is
                 the wrong perception of the technology. To many
                 potential users it looks like it's either too expensive
                 or it's rocket science. The pendulum of expectations
                 also swings from one extreme of anticipating a silver
                 bullet to all problems to the other extreme of awaiting
                 the next technology fiasco.

                 This article focuses on the most important application
                 issues of computational intelligence, shown in the
                 mind-map in Figure 1. Their understanding and
                 resolution is critical for the success of applied
                 computational intelligence.",
  notes =        "Features cover of \cite{Kordon:book}",

Genetic Programming entries for Arthur K Kordon