Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys

Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre. Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys. In Francisco Chicano, Krzysztof Krawiec, editors, GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021. pages 1133-1141, ACM, 2021. [doi]

@inproceedings{DangEL21-0,
  title = {Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys},
  author = {Duc-Cuong Dang and Anton V. Eremeev and Per Kristian Lehre},
  year = {2021},
  doi = {10.1145/3449639.3459398},
  url = {https://doi.org/10.1145/3449639.3459398},
  researchr = {https://researchr.org/publication/DangEL21-0},
  cites = {0},
  citedby = {0},
  pages = {1133-1141},
  booktitle = {GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021},
  editor = {Francisco Chicano and Krzysztof Krawiec},
  publisher = {ACM},
  isbn = {978-1-4503-8350-9},
}