Predicting the Performance of Job Applicants by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Augusto:2013:CCI.CBIC,

• 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 human-readable.",
• 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

Citations