Multi-objective genetic algorithm for competency-based selection of auditing teams
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Data
2013
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Resumo
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.
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Auditor’s selection, Meta-heuristics, Competency-based selection, Genetic algorithms
Citação
CAETANO, Samuel Sabino; FERREIRA, Deller James; CAMILO JÚNIOR, Celso Gonçalves. Multi-objective genetic algorithm for competency-based selection of auditing teams. Journal of Software & Systems Development, v. 2013, p. 1-13, 2013.