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Comparison of Nature Inspired Algorithms Applied in Student Courses Recommendation

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2012)

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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.

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Sobecki, J. (2012). Comparison of Nature Inspired Algorithms Applied in Student Courses Recommendation. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7653. Springer, Berlin, Heidelberg.

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  • Print ISBN: 978-3-642-34629-3

  • Online ISBN: 978-3-642-34630-9

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