A proposal of evolutionary techniques for automatic building of thesis evaluation teams
The education system of Cuban states as final evaluation to obtain the bachelor degree the presentation of a thesis, which must be presented to an evaluation team of professionals. The task of building these teams is commonly developed by human experts based on its intuition and previous experi...
Main Authors: | , , |
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Format: | Article |
Language: | Spanish |
Published: |
Universidad de Ciencias Informáticas
2013-12-01
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Series: | Revista Cubana de Ciencias Informáticas |
Subjects: | |
Online Access: | http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=377&path[]=247 |
Summary: | The education system of Cuban states as final evaluation to obtain the bachelor degree the presentation of a thesis,
which must be presented to an evaluation team of professionals. The task of building these teams is commonly developed
by human experts based on its intuition and previous experience. However, this task usually becomes complex if the
number of thesis and professionals increases, and if one must to fulfill several criteria like: the professional knowledge
on the thesis topic, its availability, its scientific level, etc. This situation can be modeled as an optimization problem
that can be solved by classic methods. However, classic methods need in general to explore the search space which can
be considerably huge because its combinatorial nature. In that sense, the present work proposes a simple evolutionary
algorithm that solves in an efficient way this problem. As validation, we have selected four cases of study related with
the Informatics Engineering career at University of Holguin |
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ISSN: | 1994-1536 2227-1899 |