Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks

Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Majdi M. Mafarja. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks. In Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors, Nature-Inspired Optimizers - Theories, Literature Reviews and Applications. Volume 811 of Studies in Computational Intelligence, pages 23-46, Springer, 2019. [doi]

@incollection{HeidariFMAM19,
  title = {Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks},
  author = {Ali Asghar Heidari and Hossam Faris and Seyedali Mirjalili and Ibrahim Aljarah and Majdi M. Mafarja},
  year = {2019},
  doi = {10.1007/978-3-030-12127-3_3},
  url = {https://doi.org/10.1007/978-3-030-12127-3_3},
  researchr = {https://researchr.org/publication/HeidariFMAM19},
  cites = {0},
  citedby = {0},
  pages = {23-46},
  booktitle = {Nature-Inspired Optimizers - Theories, Literature Reviews and Applications},
  editor = {Seyedali Mirjalili and Jin Song Dong and Andrew Lewis},
  volume = {811},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-030-12127-3},
}