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Bogdan Burlacu
Bogdan Burlacu
University of Applied Sciences Upper Austria
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Parameter identification for symbolic regression using nonlinear least squares
M Kommenda, B Burlacu, G Kronberger, M Affenzeller
Genetic Programming and Evolvable Machines 21 (3), 471-501, 2020
352020
Gaining deeper insights in symbolic regression
M Affenzeller, SM Winkler, G Kronberger, M Kommenda, B Burlacu, ...
Genetic Programming Theory and Practice XI, 175-190, 2014
312014
Contemporary symbolic regression methods and their relative performance
W La Cava, P Orzechowski, B Burlacu, FO de França, M Virgolin, Y Jin, ...
arXiv preprint arXiv:2107.14351, 2021
262021
Visualization of genetic lineages and inheritance information in genetic programming
B Burlacu, M Affenzeller, M Kommenda, S Winkler, G Kronberger
Proceedings of the 15th annual conference companion on Genetic and …, 2013
242013
Evolving simple symbolic regression models by multi-objective genetic programming
M Kommenda, G Kronberger, M Affenzeller, SM Winkler, B Burlacu
Genetic Programming Theory and Practice XIII, 1-19, 2016
222016
Operon C++ an efficient genetic programming framework for symbolic regression
B Burlacu, G Kronberger, M Kommenda
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
152020
Sliding window symbolic regression for detecting changes of system dynamics
SM Winkler, M Affenzeller, G Kronberger, M Kommenda, B Burlacu, ...
Genetic Programming Theory and Practice XII, 91-107, 2015
112015
Genetic programming with data migration for symbolic regression
M Kommenda, M Affenzeller, B Burlacu, G Kronberger, SM Winkler
Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014
112014
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression gp variants
M Affenzeller, SM Winkler, B Burlacu, G Kronberger, M Kommenda, ...
Proceedings of the genetic and evolutionary computation conference companion …, 2017
102017
Methods for genealogy and building block analysis in genetic programming
B Burlacu, M Affenzeller, S Winkler, M Kommenda, G Kronberger
Computational Intelligence and Efficiency in Engineering Systems, 61-74, 2015
92015
Symbolic regression by exhaustive search: reducing the search space using syntactical constraints and efficient semantic structure deduplication
L Kammerer, G Kronberger, B Burlacu, SM Winkler, M Kommenda, ...
Genetic Programming Theory and Practice XVII, 79-99, 2020
82020
On the analysis, classification and prediction of metaheuristic algorithm behavior for combinatorial optimization problems
A Scheibenpflug, S Wagner, E Pitzer, B Burlacu, M Affenzeller
Proceedings of the 24th European Modeling and Simulation Symposium, EMSS 2012, 2012
72012
Shape-Constrained Symbolic Regression—Improving Extrapolation with Prior Knowledge
G Kronberger, FO de França, B Burlacu, C Haider, M Kommenda
Evolutionary Computation 30 (1), 75-98, 2022
62022
Online diversity control in symbolic regression via a fast hash-based tree similarity measure
B Burlacu, M Affenzeller, G Kronberger, M Kommenda
2019 IEEE congress on evolutionary computation (CEC), 2175-2182, 2019
52019
White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems
M Affenzeller, B Burlacu, V Dorfer, S Dorl, G Halmerbauer, ...
International Conference on Computer Aided Systems Theory, 288-295, 2019
52019
Cluster analysis of a symbolic regression search space
G Kronberger, L Kammerer, B Burlacu, SM Winkler, M Kommenda, ...
Genetic Programming Theory and Practice XVI, 85-102, 2019
52019
Multi-population genetic programming with data migration for symbolic regression
M Kommenda, M Affenzeller, G Kronberger, B Burlacu, S Winkler
Computational Intelligence and Efficiency in Engineering Systems, 75-87, 2015
52015
Parsimony measures in multi-objective genetic programming for symbolic regression
B Burlacu, G Kronberger, M Kommenda, M Affenzeller
Proceedings of the genetic and evolutionary computation conference companion …, 2019
42019
Similarity-based analysis of population dynamics in genetic programming performing symbolic regression
SM Winkler, M Affenzeller, B Burlacu, G Kronberger, M Kommenda, ...
Genetic Programming Theory and Practice XIV, 1-17, 2018
42018
Heat treatment process parameter estimation using heuristic optimization algorithms
M Kommenda, B Burlacu, R Holecek, A Gebeshuber, M Affenzeller
Proceedings of the 27th European Modeling and Simulation Symposium EMSS, 222-228, 2015
42015
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