Projects per year
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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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Collaborations and top research areas from the last five years
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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., 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., Fleck, P., Traugott, G., Holzinger, F. C., Burlacu, B. & Beham, A.
01.07.2014 → 30.06.2019
Project: Research Project
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K-Projekt HOPL
Affenzeller, M., Wagner, S., Leitner, S. J., Karder, J. A., Petschnik, E., Krauss, O., Burlacu, B., Lengauer, E., Beham, A. & Hauder, V.
COMET Competence Centers for Excellent Technologies
01.05.2014 → 30.04.2018
Project: Research Project
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Population diversity and inheritance in genetic programming for symbolic regression
Burlacu, B., Yang, K. & Affenzeller, M., 2023, (Accepted/In press) In: Natural Computing.Research output: Contribution to journal › Article › peer-review
Open Access -
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 Access1 Citation (Scopus) -
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Burlacu, B., Kommenda, M., Kronberger, G., Winkler, S. M. & Affenzeller, M., 2023, Genetic Programming Theory and Practice XIX. Trujillo, L., Winkler, S. M., Silva, S. & Banzhaf, W. (eds.). Singapore: Springer Nature Singapore, p. 1-30 30 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review
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Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Burlacu, B., Kommenda, M., Kronberger, G., Winkler, S. M. & Affenzeller, M., 12 Mar 2023, Genetic Programming Theory and Practice. Springer, Vol. XIX. p. 1-30 Chapter 1. (Genetic and Evolutionary Computation).Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review
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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 Access2 Citations (Scopus)