• DocumentCode
    3080215
  • Title

    The recruitment and selection of staff problem with an Ant Colony system

  • Author

    Lewicki, Arkadiusz ; Tadeusiewicz, Ryszard

  • Author_Institution
    Univ. of Inf. Technol. & Manage. in Rzeszow, Rzeszow, Poland
  • fYear
    2010
  • fDate
    13-15 May 2010
  • Firstpage
    770
  • Lastpage
    774
  • Abstract
    This paper describes proposal for the application modified Ant Colony Optimization Algorithm in the task for recruitment and selection of employees. After analyzing the combinatorial problem involving multicriterial process of recruitment and selection model proposed non-compensating its solution using the modified ACO heuristic strategy, showing a lack of opportunities to receive appropriate the resulting matrix, related to the accurate prediction of the decision at an acceptable as satisfactory for implementation only available deterministic algorithms.
  • Keywords
    combinatorial mathematics; heuristic programming; optimisation; personnel; recruitment; ant colony optimization algorithm; modified ACO heuristic strategy; staff problem selection; Algorithm design and analysis; Ant colony optimization; Decision making; Predictive models; Proposals; Recruitment; ACO; heuristic decision-making system; metaheuristics strategy; task for recruitment and selection of employees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human System Interactions (HSI), 2010 3rd Conference on
  • Conference_Location
    Rzeszow
  • Print_ISBN
    978-1-4244-7560-5
  • Type

    conf

  • DOI
    10.1109/HSI.2010.5514481
  • Filename
    5514481