Yüklüyor......
An Improved Grey Wolf Optimization Algorithm with Variable Weights
With a hypothesis that the social hierarchy of the grey wolves would be also followed in their searching positions, an improved grey wolf optimization (GWO) algorithm with variable weights (VW-GWO) is proposed. And to reduce the probability of being trapped in local optima, a new governing equation...
Kaydedildi:
| Yayımlandı: | Comput Intell Neurosci |
|---|---|
| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Hindawi
2019
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6589244/ https://ncbi.nlm.nih.gov/pubmed/31281334 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/2981282 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|