The ant colony optimization algorithm for multiobjective optimization non-compensation model problem staff selection

Authors:
Ryszard Tadeusiewicz;Arkadiusz Lewicki
Affiliations:
AGH University of Science and Technology, Krakow, Poland;University of Information Technology and Management in Rzeszow, Poland
Venue:
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Year:
2010

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Abstract

This paper describes proposal for the application to modify the Ant Colony Optimization for multiobjective optimization non-compensation model problem staff selection. After analyzing the combinatorial problem involving multicriterial process of recruitment and selection model, it proposed noncompensating its solution using the modified ACO heuristic strategy. This shows that the lack of opportunities to receive appropriate the resulting matrix is related to the accurate prediction of the decision at an acceptable as satisfactory for implementation only available deterministic algorithms.