- 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",
- month = feb,
- note = "The Dow Chemical Company",
- email = "akordon@dow.com",
- keywords = "genetic algorithms, genetic programming",
- ISSN = "1931-8499",
-
URL = "
http://www.sigevolution.org/issues/pdf/SIGEVOlution200903.pdf",
-
DOI = "
doi:10.1145/1731888.1731889",
- 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}",
