Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing

Yu-Fan Tung, Tian-Li Yu. Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. In Juan Luis Jiménez Laredo, Sara Silva, Anna Isabel Esparcia-Alcázar, editors, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015. pages 535-542, ACM, 2015. [doi]

@inproceedings{TungY15,
  title = {Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing},
  author = {Yu-Fan Tung and Tian-Li Yu},
  year = {2015},
  doi = {10.1145/2739480.2754685},
  url = {http://doi.acm.org/10.1145/2739480.2754685},
  researchr = {https://researchr.org/publication/TungY15},
  cites = {0},
  citedby = {0},
  pages = {535-542},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015},
  editor = {Juan Luis Jiménez Laredo and Sara Silva and Anna Isabel Esparcia-Alcázar},
  publisher = {ACM},
  isbn = {978-1-4503-3472-3},
}