Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability

Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck

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DOI: 10.1007/978-3-030-58115-2_49
Published: 2020
Container: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-030-58115-2_49,
  title = {Benchmarking a \$\$(\textbackslash{}mu +\textbackslash{}lambda )\$\$ Genetic Algorithm with Configurable Crossover Probability},
  author = {Furong Ye and Hao Wang and Carola Doerr and Thomas Bäck},
  year = {2020},
  journal = {Lecture Notes in Computer Science},
  doi = {10.1007/978-3-030-58115-2_49},
  url = {https://doi.org/10.1007/978-3-030-58115-2_49}
}

RIS

TY  - JOUR
TI  - Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability
AU  - Furong Ye
AU  - Hao Wang
AU  - Carola Doerr
AU  - Thomas Bäck
PY  - 2020
JO  - Lecture Notes in Computer Science
DO  - 10.1007/978-3-030-58115-2_49
UR  - https://doi.org/10.1007/978-3-030-58115-2_49
ER  -

APA

Ye, F., Wang, H., Doerr, C., & Bäck, T. (2020). Benchmarking a $$(\mu +\lambda )$$ Genetic Algorithm with Configurable Crossover Probability. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-58115-2_49

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crossref · retrieved 2026-09-25T03:52:03.301Z