@article{caetano2013multiobjective,
  title = {Multi-Objective Genetic Algorithm for Competency-Based Selection of Auditing Teams},
  author = {Samuel Sabino Caetano and Deller James Ferreira and Celso Gonçalves Camilo-Jr},
  year = 2013,
  url = {https://ibimapublishing.com/articles/JSSD/2013/468161/},
  journal = {Journal of Software and Systems Development},
  volume = (2013),
  pages = 13,
  doi = 10.5171/2013.468161,
  abstract = {To perform an auditing it is necessary to select auditors with certain competences in a given knowledge area. In this work, we present a multi-objective genetic algorithm to select the best auditors to perform a certain auditing. The algorithm involves the competence allocation problem under three different point of views: indispensable competences, dependencies among competences, and auditing budget boundary. We performed a case study where the competence allocation problem is analysed under a combinatorial perspective. The results show that the genetic algorithm proposed reaches better results comparing to random selection method.},
  keywords = {Auditor’s selection, meta-heuristics, competency-based selection, genetic algorithms},
  note = Article ID: 468161
}