Self-adaptive polynomial mutation in NSGA-II-Reference-Cited by-同舟云学术

Self-adaptive polynomial mutation in NSGA-II

Published:2023-08-21 Issue:23 Volume:27 Page:17711-17727
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Carles-Bou Jose L.^ORCID,Galán Severino F.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09049-0.pdf

Reference84 articles.

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4. Auger A, Bader J, Brockhoff D, Zitzler E (2009) Theory of the hypervolume indicator: optimal $$\mu $$-distributions and the choice of the reference point. In: Proceedings of the tenth ACM SIGEVO workshop on foundations of genetic algorithms - FOGA ’09 https://doi.org/10.1145/1527125.1527138

5. Auger A, Stutzle T, Sharma M, Komninos A, López-Ibánez M, Kazakov D (2019) Deep reinforcement learning based parameter control in differential evolution. In: Proceedings of the genetic and evolutionary computation conference pp. 709–717. https://doi.org/10.1145/3321707.3321813

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