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...

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Bibliographic Details
Main Authors: Pavel Novoa Hernández, Milvio A. Novoa Hernández, Yasnalla Rivero Peña
Format: Article
Language:Spanish
Published: Universidad de Ciencias Informáticas 2013-12-01
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
Description
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
ISSN:1994-1536
2227-1899