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
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