Name
Abstract | ||
|---|---|---|
•A dynamic Salp swarm algorithm is proposed for feature selection.•The development of novel update equation to improve solutions diversity.•The development of new Local search algorithm to improve algorithm exploitation.•The algorithm was tested on 23 datasets and it is outperformed other algorithms. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2020.113873 | Expert Systems with Applications |
Keywords | DocType | Volume |
Salp swarm algorithm,Feature selection,Singer chaotic map,Local search algorithm (LSA) | Journal | 164 |
ISSN | Citations | PageRank |
0957-4174 | 8 | 0.42 |
References | Authors | |
53 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Tubishat | 1 | 40 | 2.07 |
| salinah ja afar | 2 | 13 | 0.81 |
| Mohammed Alswaitti | 3 | 15 | 2.54 |
| Seyedali Mirjalili | 4 | 3949 | 140.80 |
| Norisma Idris | 5 | 136 | 13.36 |
| Maizatul Ismail | 6 | 35 | 4.95 |
| Mardian Shah Omar | 7 | 8 | 0.42 |