Name
Title | ||
|---|---|---|
Optimal learning group formation: A multi-objective heuristic search strategy for enhancing inter-group homogeneity and intra-group heterogeneity. |
Abstract | ||
|---|---|---|
•A heuristic search strategy was proposed for optimal learning group formation.•NSGA-II, a multi-objective optimization tool, was utilized for optimal grouping.•It was capable of enhancing inter-group homogeneity and Intra-group Heterogeneity.•Efficient and reliable fitness functions were defined to stop iterations.•Various characteristics of any data types and range of variations can be handled. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.10.034 | Expert Systems with Applications |
Keywords | Field | DocType |
Group formation,Multi-objective optimization,Collaborative learning,Inter-group homogeneity,Intra-group heterogeneity,Computational intelligence | Heuristic,Collaborative learning,Intelligent decision support system,Computer science,Sorting,Artificial intelligence,Cluster analysis,Optimization problem,Machine learning,Generality,Genetic algorithm | Journal |
Volume | ISSN | Citations |
118 | 0957-4174 | 1 |
PageRank | References | Authors |
0.36 | 38 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soheila Garshasbi | 1 | 1 | 0.36 |
| Yousef Mohammadi | 2 | 1 | 0.36 |
| Sabine Graf | 3 | 173 | 21.82 |
| Samira Garshasbi | 4 | 1 | 0.36 |
| Jun Shen | 5 | 20 | 8.82 |