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Dive into the research topics where Bogdan Burlacu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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HEAL - Virtual Sensor Design by Genetic Programming
Affenzeller, M., Leitner, S. J. & Burlacu, B.
01.02.2006 → 31.01.2030
Project: Research Project
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Josef Ressel Zentrum für Symbolische Regression
Kronberger, G., Kommenda, M., Beneder, M., Burlacu, B., Haider, C. A., Kammerer, L., Bachinger, F. & Jödicke, D.
01.01.2018 → 31.12.2022
Project: Research Project
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Fakultätsübergreifendes Institut für intelligente Produktion - Hgbg
Affenzeller, M., Beham, A., Fleck, P., Traugott, G., Holzinger, F. C. & Burlacu, B.
01.07.2014 → 30.06.2019
Project: Research Project
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K-Projekt HOPL
Affenzeller, M., Wagner, S., Lengauer, E., Beham, A., Leitner, S. J., Karder, J. A., Petschnik, E., Kommenda, M., Kellermayr-Scheucher, M., Krauss, O. & Burlacu, B.
COMET Competence Centers for Excellent Technologies
01.05.2014 → 30.04.2018
Project: Research Project
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Shape-constrained multi-objective genetic programming for symbolic regression
Haider, C., de Franca, F. O., Burlacu, B. & Kronberger, G., Jan 2023, In: Applied Soft Computing. 132, 109855.Research output: Contribution to journal › Article › peer-review
Open Access -
Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression
Haider, C., De França, F. O., Kronberger, G. & Burlacu, B., 8 Jul 2022, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 938-945 8 p. (GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
Open Access -
Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge
Kronberger, G., França, F. O. D., Burlacu, B., Haider, C. & Kommenda, M., 1 Mar 2022, In: Evolutionary Computation. 30, 1, p. 75-98 24 p.Research output: Contribution to journal › Article › peer-review
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Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Burlacu, B., Kommenda, M., Kronberger, G., Winkler, S. & Affenzeller, M., 13 Jun 2022.Research output: Working paper › Preprint
File21 Downloads (Pure) -
Contemporary Symbolic Regression Methods and their Relative Performance
Cava, W. L., Orzechowski, P., Burlacu, B., França, F. O. D., Virgolin, M., Jin, Y., Kommenda, M. & Moore, J. H., 29 Jul 2021.Research output: Working paper › Preprint
File83 Downloads (Pure)