Bogdan Burlacu

According to our database, Bogdan Burlacu authored at least 38 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-View Symbolic Regression.

Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler

CoRR, 2024

2023

A precise symbolic emulator of the linear matter power spectrum.

Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt, Bogdan Burlacu, David Alonso, Matteo Zennaro

CoRR, 2023

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.

Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, C. S. Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, H. Zhang, Grant Dick, A. Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava

CoRR, 2023

Shape-constrained multi-objective genetic programming for symbolic regression.

Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Gabriel Kronberger

Appl. Soft Comput., 2023

GECCO'2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework.

Bogdan Burlacu

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge.

Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda

Evol. Comput., 2022

Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.

Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller

CoRR, 2022

Rank-based Non-dominated Sorting.

Bogdan Burlacu

CoRR, 2022

Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression.

Christian Haider, Fabrício Olivetti de França, Gabriel Kronberger, Bogdan Burlacu

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Using Shape Constraints for Improving Symbolic Regression Models.

Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Gabriel Kronberger

CoRR, 2021

Contemporary Symbolic Regression Methods and their Relative Performance.

William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Parameter identification for symbolic regression using nonlinear least squares.

Michael Kommenda, Bogdan Burlacu, Gabriel Kronberger, Michael Affenzeller

Genet. Program. Evolvable Mach., 2020

Operon C++: an efficient genetic programming framework for symbolic regression.

Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.

Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Parsimony measures in multi-objective genetic programming for symbolic regression.

Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Genetic Programming Based Evolvement of Models of Models.

Mariia Semenkina, Bogdan Burlacu, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.

Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems.

Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.

Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Cluster Analysis of a Symbolic Regression Search Space.

Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Schema-based diversification in genetic programming.

Bogdan Burlacu, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Schema Analysis in Tree-Based Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Genetic Programming Theory and Practice XV, 2017

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.

Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Measures for the Evaluation and Comparison of Graphical Model Structures.

Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Optimization Networks for Integrated Machine Learning.

Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis of Schema Frequencies in Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.

Michael Affenzeller, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger, Stefan Wagner

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016

Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.

Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck

Proceedings of the Genetic Programming Theory and Practice XIV, 2016

2015

Multi-Population Genetic Programming with Data Migration for Symbolic Regression.

Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Methods for Genealogy and Building Block Analysis in Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

On the Effectiveness of Genetic Operations in Symbolic Regression.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2014

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner

Proceedings of the Genetic Programming Theory and Practice XII, 2014

Genetic programming with data migration for symbolic regression.

Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Gaining Deeper Insights in Symbolic Regression.

Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner

Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

Visualization of genetic lineages and inheritance information in genetic programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

On the Evolutionary Behavior of Genetic Programming with Constants Optimization.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

2011

Multiobjective design of evolutionary hybrid neural networks.

Lavinia Ferariu, Bogdan Burlacu

Proceedings of the 17th International Conference on Automation and Computing, 2011

Multiobjective genetic programming with adaptive clustering.

Lavinia Ferariu, Bogdan Burlacu

Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2011