Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis.

Dietrich K, Seiler M, Mersmann O, Trautmann H, Kerschke P

DOI: 10.1162/evco.a.405
Published: 2026 Sep 15
Container: Evolutionary computation
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1162/evco.a.405,
  title = {Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis.},
  author = {Dietrich K and Seiler M and Mersmann O and Trautmann H and Kerschke P},
  year = {2026},
  journal = {Evolutionary computation},
  doi = {10.1162/evco.a.405},
  url = {https://doi.org/10.1162/evco.a.405}
}

RIS

TY  - JOUR
TI  - Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis.
AU  - Dietrich K
AU  - Seiler M
AU  - Mersmann O
AU  - Trautmann H
AU  - Kerschke P
PY  - 2026
JO  - Evolutionary computation
DO  - 10.1162/evco.a.405
UR  - https://doi.org/10.1162/evco.a.405
ER  -

APA

K, D., M, S., O, M., H, T., & P, K. (2026). Generation of Continuous Optimization Benchmark Problems Guided by Deep Exploratory Landscape Analysis.. Evolutionary computation. https://doi.org/10.1162/evco.a.405

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pubmed · retrieved 2026-09-24T19:43:54.654Z