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Reseach Article

Using Genetic Algorithms for the Classification of Employees in the Context of a Transformation to the e-Administration

by Rekiek Siham, Azmani Abdellah, El Harzli Mohamed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 4
Year of Publication: 2014
Authors: Rekiek Siham, Azmani Abdellah, El Harzli Mohamed
10.5120/18507-9576

Rekiek Siham, Azmani Abdellah, El Harzli Mohamed . Using Genetic Algorithms for the Classification of Employees in the Context of a Transformation to the e-Administration. International Journal of Computer Applications. 106, 4 ( November 2014), 11-18. DOI=10.5120/18507-9576

@article{ 10.5120/18507-9576,
author = { Rekiek Siham, Azmani Abdellah, El Harzli Mohamed },
title = { Using Genetic Algorithms for the Classification of Employees in the Context of a Transformation to the e-Administration },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 4 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 11-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number4/18507-9576/ },
doi = { 10.5120/18507-9576 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:29.961536+05:30
%A Rekiek Siham
%A Azmani Abdellah
%A El Harzli Mohamed
%T Using Genetic Algorithms for the Classification of Employees in the Context of a Transformation to the e-Administration
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 4
%P 11-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article presents a general vision to perform a transformation of an ordinary service to an e-service as part of the modernization of a public Administration. Human resources have been opted to play an essential role in this transformation. This work is summed up in a method that helps choosing employees (functionaries) most willing to be adapted to the changes induced by the establishment of an e-service. The genetic algorithms have been chosen to be applied, on the base of criteria retained in the evaluation of employees, in order to create mutations between generations to reach a better generation.

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Index Terms

Computer Science
Information Sciences

Keywords

Service e-service public administration e-Administration genetic algorithms e-Governance e-Transformation.