A non-linear optimization task for forming optimal sets of selective disciplines

Abstract

It appears to be useful to build a recommendation systems aimed to choosing optimal sets of selective disciplines within the e-learning environment. It should be taken into account that the value of any discipline depends not only upon this discipline itself but of selection of other disciplines as well. A non-linear optimization task is suggested as the model of this problem; some heuristic approaches for solving this task on the base of soft computing are regarded.