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A Method for the Team Selection Problem Between Two Decision-Makers Using the Ant Colony Optimization

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Soft Computing Applications for Group Decision-making and Consensus Modeling

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 357))

Abstract

The team selection issue is important in the management of human resources, in which the purpose is to conduct a personnel selection process to form teams according to certain preferences. This selection problem is usually solved by ranking the candidates based on the preferences of decision-makers and allowing the decision-makers to select a candidate on its turn. While this solution method is simple and might seem fair it usually results in an unfair allocation of candidates to the different teams, i.e. the quality of the teams might be quite different according to the rankings articulated by the decision-makers. In this paper we propose a new approach to the team selection problem in which two employers should form their teams selecting personnel from a set of candidates that is common to both; each decision-maker has a personal ranking of those candidates. The objective it to make teams of high quality according to the valuation of each of the decision-makers; this results in a method for the team selection problem which not only result in high quality teams, but also focuses on a fair composition of the teams. Our approach is based on the Ant Colony Optimization metaheuristic, and allows to solve large instances of the problem as shown in the experimental section of this paper.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Universidad Central “Marta Abreu” de Las Villas, Santa Clara, Cuba

    Marilyn Bello, Rafael Bello & María M. García-Lorenzo

  2. Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium

    Ann Nowé

Authors
  1. Marilyn Bello
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  2. Rafael Bello
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  3. Ann Nowé
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  4. María M. García-Lorenzo
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Correspondence to Rafael Bello .

Editor information

Editors and Affiliations

  1. School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Bello, M., Bello, R., Nowé, A., García-Lorenzo, M.M. (2018). A Method for the Team Selection Problem Between Two Decision-Makers Using the Ant Colony Optimization. In: Collan, M., Kacprzyk, J. (eds) Soft Computing Applications for Group Decision-making and Consensus Modeling. Studies in Fuzziness and Soft Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-60207-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-60207-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60206-6

  • Online ISBN: 978-3-319-60207-3

  • eBook Packages: EngineeringEngineering (R0)

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