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A hybrid grouping genetic algorithm for assigning students to preferred laboratory groups
- Source :
-
Expert Systems with Applications . Apr2009 Part 2, Vol. 36 Issue 3, p7234-7241. 8p. - Publication Year :
- 2009
-
Abstract
- Abstract: This paper presents a novel application of the hybrid grouping genetic algorithm in a problem related to university timetabling. Specifically, the assignment of students to laboratory groups is tackled. This problem includes an important constraint of capacity, due to laboratories usually have a maximum number of equips or computers available, so the number of total students in a group is constrained to be equal or less than the capacity of the laboratory. In addition, our approach considers the case in which the students provide a sorted list of preferred laboratory groups, so the objective of the assignment must take this point into account. A variation of the problem in which a balanced number of students per group is required (lecturer preferences) is also studied in this paper. The performance of the approach is shown in different test problems and in a real application in a Spanish University. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09574174
- Volume :
- 36
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Expert Systems with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 36301430
- Full Text :
- https://doi.org/10.1016/j.eswa.2008.09.020