Multi-Objective Genetic Algorithm for Competency-Based Selection of Auditing Teams
Samuel Sabino Caetano,Deller James Ferreira,Celso Gonçalves Camilo-Jr +2 more
- 17 Feb 2013
pp 1-12
TL;DR: This work presents a multi-objective genetic algorithm to select the best auditors to perform a certain auditing that involves the competence allocation problem under three different point of views: indispensable competences, dependencies among Competences, and auditing budget boundary.
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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.
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