Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization

Linas Stripinis, Jakub Kůdela, Remigijus Paulavičius

Open source

DOI
10.1109/tcyb.2025.3625095
Published
2026-03
Container
IEEE Transactions on Cybernetics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/tcyb.2025.3625095,
  title = {Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization},
  author = {Linas Stripinis and Jakub Kůdela and Remigijus Paulavičius},
  year = {2026},
  journal = {IEEE Transactions on Cybernetics},
  doi = {10.1109/tcyb.2025.3625095},
  url = {https://doi.org/10.1109/tcyb.2025.3625095}
}

RIS

TY  - JOUR
TI  - Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization
AU  - Linas Stripinis
AU  - Jakub Kůdela
AU  - Remigijus Paulavičius
PY  - 2026
JO  - IEEE Transactions on Cybernetics
DO  - 10.1109/tcyb.2025.3625095
UR  - https://doi.org/10.1109/tcyb.2025.3625095
ER  - 

APA

Stripinis, L., Kůdela, J., & Paulavičius, R. (2026). Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2025.3625095

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