Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks

AbdElRahman A. ElSaid, Alexander G. Ororbia II, Travis J. Desell. Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. In Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega, editors, Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings. Volume 12104 of Lecture Notes in Computer Science, pages 626-641, Springer, 2020. [doi]

@inproceedings{ElSaidOD20,
  title = {Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks},
  author = {AbdElRahman A. ElSaid and Alexander G. Ororbia II and Travis J. Desell},
  year = {2020},
  doi = {10.1007/978-3-030-43722-0_40},
  url = {https://doi.org/10.1007/978-3-030-43722-0_40},
  researchr = {https://researchr.org/publication/ElSaidOD20},
  cites = {0},
  citedby = {0},
  pages = {626-641},
  booktitle = {Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings},
  editor = {Pedro A. Castillo and Juan Luis Jiménez Laredo and Francisco Fernández de Vega},
  volume = {12104},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-43722-0},
}