Collaborator reorganization model based on generic genetic algorithm

Eduardo H.Z.R.; Yensi V.L. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2020) · DOI: 10.18687/laccei2020.1.1.73

Resumen

This article describes a model using genetic algorithm to reorganize the employee in a suitable job position of a company based on their profile (or representation of their resume). In each chromosome the collaborator profile weighting was considered and contrasted with the valuation of the position profile proposed by the representative or head of human resources of the company. Considering that the proposed model is not going to withdraw personnel, nor enter new personnel for the company, just reorganize it. To verify the functionality of the model, the profiles of the 250 collaborators were exchanged with the same 20 profiles proposed by the human resources representative obtaining 0% exchange, when the evaluation was made with their real profiles an exchange was obtained in 14 collaborators, implying 5.6% of collaborators that their profile adapts to another job, delaying for the process 6.2 seconds. This proposed model has a quadratic temporal complexity of 5n2 + 17n + 7.

Instituciones: Universidad Nacional de Trujillo; Universidad Nacional Tecnológica de Lima Sur