Predicting the Performance of Job Applicants by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "D. A. Augusto and H. S. Bernardino and 
                 H. J. C. Barbosa",
  booktitle =    "BRICS Congress on Computational Intelligence and 11th
                 Brazilian Congress on Computational Intelligence
                 (BRICS-CCI CBIC 2013)",
  title =        "Predicting the Performance of Job Applicants by Means
                 of Genetic Programming",
  year =         "2013",
  month =        sep,
  pages =        "98--103",
  abstract =     "Since their early development, genetic
                 programming-based algorithms have been showing to be
                 successful at challenging problems, attaining several
                 human-competitive results and other awards. This paper
                 will present another achievement of such algorithms by
                 describing how our team has won an international
                 machine-learning competition. We have solved, by means
                 of grammar-based genetic programming techniques, a
                 real-world problem of meritocracy in jobs by evolving
                 classifiers that were both accurate and
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/BRICS-CCI-CBIC.2013.27",
  notes =        "Also known as \cite{6855836}",

Genetic Programming entries for Douglas A Augusto Heder Soares Bernardino Helio J C Barbosa