A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity

Sowmya Chandrasekaran, Thomas Bartz-Beielstein. A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity. In João Correia, Stephen L. Smith 0002, Raneem Qaddoura, editors, Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Volume 13989 of Lecture Notes in Computer Science, pages 426-441, Springer, 2013. [doi]

@inproceedings{ChandrasekaranB13,
  title = {A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity},
  author = {Sowmya Chandrasekaran and Thomas Bartz-Beielstein},
  year = {2013},
  doi = {10.1007/978-3-031-30229-9_28},
  url = {https://doi.org/10.1007/978-3-031-30229-9_28},
  researchr = {https://researchr.org/publication/ChandrasekaranB13},
  cites = {0},
  citedby = {0},
  pages = {426-441},
  booktitle = {Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings},
  editor = {João Correia and Stephen L. Smith 0002 and Raneem Qaddoura},
  volume = {13989},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-30229-9},
}