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.
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Lewicki, A., Tadeusiewicz, R. (2012). An Autocatalytic Emergence Swarm Algorithm in the Decision-Making Task of Managing the Process of Creation of Intellectual Capital. In: Hippe, Z.S., Kulikowski, J.L., Mroczek, T. (eds) Human – Computer Systems Interaction: Backgrounds and Applications 2. Advances in Intelligent and Soft Computing, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23187-2_17
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DOI: https://doi.org/10.1007/978-3-642-23187-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23186-5
Online ISBN: 978-3-642-23187-2
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