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- W2474821701 abstract "The student grouping problem (SGP) is NP-hard; however, obtaining approximate solutions is essential to collaborative work in e-learning. This paper explores swarm intelligence metaheuristics including particle swarm optimization (PSO), ant colony system (ACS), and artificial bee colony (ABC) to solve the student grouping problem and create heterogeneous groups. © 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:831–842, 2016; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21752" @default.
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- W2474821701 date "2016-06-13" @default.
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- W2474821701 title "Solving the student grouping problem in e-learning systems using swarm intelligence metaheuristics" @default.
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- W2474821701 doi "https://doi.org/10.1002/cae.21752" @default.
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