Abstract
Groups of students develop and enhance their learning capabilities based on the opportunities and the challenges they face. Within each group particular capabilities are identified for the different members. This allows for the identification of individual studying styles. Based on previous developments supported by artificial intelligence techniques, we develop a new approach, which combines diversity and efficiency. Our approach allows for critical improvements when compared to similar proposals based on genetic algorithms techniques.
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Ricardo Contreras, A., Valentina Hernández, P., Pinacho-Davidson, P., Angélica Pinninghoff J., M. (2022). A Bacteria-Based Metaheuristic as a Tool for Group Formation. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_44
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DOI: https://doi.org/10.1007/978-3-031-06527-9_44
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