Comparison of nature inspired algorithms applied in student courses recommendation

Authors:
Janusz Sobecki
Affiliations:
Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland
Venue:
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Year:
2012

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Abstract

In this paper we present comparison of several nature inspired algorithms applied in recommendation of student courses. Nature inspired algorithms proved to be very effective in solving many optimization problems, here we show that these techniques could be successfully used in solving the problem of prediction of final grades students receives on completing university courses is able to deliver good solutions. However to apply these algorithms we need special representation of the problem appropriate for each algorithm.