Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines. Faris, H., Mirjalili, S., Aljarah, I., Mafarja, M. M., & Heidari, A. A. In Mirjalili, S., Dong, J. S., & Lewis, A., editors, Nature-Inspired Optimizers - Theories, Literature Reviews and Applications, volume 811, of Studies in Computational Intelligence, pages 185–199. Springer, 2019.
Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines [link]Paper  doi  bibtex   
@incollection{DBLP:series/sci/FarisMAMH19,
  author    = {Hossam Faris and
               Seyedali Mirjalili and
               Ibrahim Aljarah and
               Majdi M. Mafarja and
               Ali Asghar Heidari},
  editor    = {Seyedali Mirjalili and
               Jin Song Dong and
               Andrew Lewis},
  title     = {Salp Swarm Algorithm: Theory, Literature Review, and Application in
               Extreme Learning Machines},
  booktitle = {Nature-Inspired Optimizers - Theories, Literature Reviews and Applications},
  series    = {Studies in Computational Intelligence},
  volume    = {811},
  pages     = {185--199},
  publisher = {Springer},
  year      = {2019},
  url       = {https://doi.org/10.1007/978-3-030-12127-3\_11},
  doi       = {10.1007/978-3-030-12127-3\_11},
  timestamp = {Mon, 15 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/series/sci/FarisMAMH19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0