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
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;
Conference_Titel :
Human System Interactions (HSI), 2010 3rd Conference on
Conference_Location :
Rzeszow
Print_ISBN :
978-1-4244-7560-5
DOI :
10.1109/HSI.2010.5514481