Ant Colony Optimization for Optimal Workforce Planning

  • Juan Pisco Universidad Técnica Estatal de Quevedo
  • Abraham Bayas Universidad Técnica Estatal de Quevedo
  • Rodolfo Najarro Universidad Técnica Estatal de Quevedo
  • Amilkar Puris Universidad Técnica Estatal de Quevedo
  • Pavel Novoa Universidad Técnica Estatal de Quevedo
Keywords: Workforce planning, metaheuristics, ant colony optimization

Abstract

In this paper the problem of obtaining the Optimal Workforce Planning for enterprises is addressed as a mathematical optimization problem. Given the complexity and specific features of the corresponding optimization model, the Ant Colony Optimization metaheuristic was applied as the solution method. From computational experiments, we have shown the effectiveness of our proposal versus other state-of-art algorithms.

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Published
2017-07-12
How to Cite
[1]
J. Pisco, A. Bayas, R. Najarro, A. Puris, and P. Novoa, “Ant Colony Optimization for Optimal Workforce Planning”, LAJC, vol. 4, no. 1, p. 7, Jul. 2017.
Section
Research Articles for the Regular Issue

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