Name
Abstract | ||
|---|---|---|
•The main goal is to study the performance of the Grey Wolf Optimizer algorithm when a new hierarchical operator is introduced.•This new operator is basically a hierarchical transformation that is inspired in the hierarchical social pyramid of the grey wolf.•This proposed operator is applied to the simulation of the hunting process in the algorithm and has 5 variants are presented.•Notably the variants having the greatest impact in the GWO performance are based on the use fuzzy logic. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.asoc.2017.03.048 | Applied Soft Computing |
Keywords | Field | DocType |
Dynamic adaptation,Fuzzy logic,Performance,GWO,Benchmark functions,New operator,Hierarchical,Pyramid | Mathematical optimization,Fuzzy logic,Algorithm,Pyramid,Artificial intelligence,Operator (computer programming),Machine learning,Mathematics,Centroid,Gray (horse) | Journal |
Volume | Issue | ISSN |
57 | C | 1568-4946 |
Citations | PageRank | References |
28 | 0.69 | 6 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Rodríguez | 1 | 62 | 4.88 |
| Oscar Castillo | 2 | 5289 | 452.83 |
| José Soria | 3 | 318 | 19.92 |
| Patricia Melin | 4 | 4009 | 259.43 |
| Fevrier Valdez | 5 | 952 | 57.96 |
| Claudia I. González | 6 | 199 | 10.78 |
| Gabriela Martinez | 7 | 89 | 3.96 |
| Jesus Soto | 8 | 117 | 6.10 |