Selecting people through genetic algorithms

Authors

  • Rodrigo Martins de Freitas Alves Universidade Federal de Goiás
  • Felipe Neves Rocha da Silva Universidade Federal de Goiás
  • Diego Pereira Mota Universidade Federal de Goiás
  • Dayse Mysmar Universidade Federal de Goiás
  • Sueli Martins de Freitas Alves Universidade Estadual de Goiás

DOI:

https://doi.org/10.5902/1983465910047

Abstract

This work has as object the process of recruitment and selection, considering the effort to find professionals for the respondent job, helping people management in their decision making. This study aimed to use the concepts of genetic algorithms and clustering through the development of codes to propose the use of artificial intelligence in recruitment and selection of people. The use of algorithms and clustering proved to be a possible tool to be used in people selection process because with its use was possible to visualize three (3) candidates clusters to the desired profile: unfit, promising and able. Since the fit would be the best candidates for the job offered, since they have the best profile and knowledge.

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Published

2017-05-17

How to Cite

Alves, R. M. de F., Silva, F. N. R. da, Mota, D. P., Mysmar, D., & Alves, S. M. de F. (2017). Selecting people through genetic algorithms. Revista De Administração Da UFSM, 10(2), 307–317. https://doi.org/10.5902/1983465910047

Issue

Vol. 10 No. 2 (2017): Abr - Jun

Section

Articles

License

Authors of articles published by ReA/UFSM retain the copyright of their works, licensing them under the Creative Commons (CC-BY 4.0), which allows articles to be reused and distributed without restriction, provided that the original work is properly cited.