Name
Abstract | ||
|---|---|---|
•Selection methods are utilized in Grey wolf Optimizer (GWO) to mend diversity.•GGWO, TGWO, PGWO, UGWO, LGWO, and RGWO are the six proposed versions of GWO.•Experimental evaluations are conducted using 14 mathematical test functions.•Sensitivity Analysis for some versions of GWO gives proper parameter settings.•Comparative evaluation shows superiority of TGWO over 9 comparative methods.•In Conclusion, TGWO should be replaced the GGWO to improve outcomes. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.07.022 | Expert Systems with Applications |
Keywords | Field | DocType |
Grey Wolf Optimizer,Selection methods,Metaheuristics,Optimization,Swarm intelligence,Evolutionary algorithms | Tournament,Mathematical optimization,Evolutionary algorithm,Computer science,Natural selection,Survival of the fittest,Sampling (statistics),Optimization algorithm,Artificial intelligence,Operator (computer programming),Machine learning,Gray (horse) | Journal |
Volume | ISSN | Citations |
113 | 0957-4174 | 6 |
PageRank | References | Authors |
0.43 | 36 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed Azmi Al-Betar | 1 | 620 | 43.69 |
| mohammed a awadallah | 2 | 273 | 22.16 |
| Hossam Faris | 3 | 761 | 38.48 |
| Ibrahim Aljarah | 4 | 703 | 33.62 |
| Abdelaziz I. Hammouri | 5 | 83 | 6.51 |