Resumen
This research considers the management of the formation of collaborative groups to work virtually in the development of a task, considering the academic performance, the resilience and the aptitude to the technology, then, it is a multi-objective optimization. The descriptive study and based on the theories of social construction of knowledge and approximate sets, proposes the design of a genetic algorithm to establish intra-heterogeneous and inter-homogeneous teams according to the specified restrictions. The development of the proposal made it feasible to codify the students, define the genetic selection, crossing and mutation operators, which can lead to the best solution, after successive iterations and within the previously defined evaluation parameters.
Título traducido de la contribución | Design of a system for the management of collaborative digital groups by genetic algorithm |
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Idioma original | Español |
Título de la publicación alojada | Memorias de la CISTI 2018 - 13a Conferencia Iberica de Sistemas y Tecnologias de Informacion / Proceedings of CISTI 2018 - 13th Iberian Conference on Information Systems and Technologies |
Editores | Alvaro Rocha, Manuel Perez Cota, Adolfo Lozano-Tello, Ramiro Goncalves |
Editorial | IEEE Computer Society |
Páginas | 1-6 |
Número de páginas | 6 |
ISBN (versión digital) | 9789899843486 |
DOI | |
Estado | Publicada - 27 jun. 2018 |
Evento | 13th Iberian Conference on Information Systems and Technologies, CISTI 2018 - Caceres, Espana Duración: 13 jun. 2018 → 16 jun. 2018 |
Serie de la publicación
Nombre | Iberian Conference on Information Systems and Technologies, CISTI |
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Volumen | 2018-June |
ISSN (versión impresa) | 2166-0727 |
ISSN (versión digital) | 2166-0735 |
Conferencia
Conferencia | 13th Iberian Conference on Information Systems and Technologies, CISTI 2018 |
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País/Territorio | Espana |
Ciudad | Caceres |
Período | 13/06/18 → 16/06/18 |
Nota bibliográfica
Publisher Copyright:© 2018 AISTI.
Palabras clave
- Digital networks
- Genetic algorithm
- Group formation
- Multi-objective optimization