Bogdan Burlacu
Bogdan Burlacu
Teaching and Research Associate, University of Applied Sciences Upper Austria
Bestätigte E-Mail-Adresse bei fh-hagenberg.at
Titel
Zitiert von
Zitiert von
Jahr
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
262014
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
212013
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
202020
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
202016
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
102015
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
92014
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
82017
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
82015
On the Analysis Classification and Prediction of Metaheuristic Algorithm Behaivor for Combinatorial Optimization Problems
A Scheibenpflug, S Wagner, E Pitzer, B Burlacu, M Affenzeller
Proceedings of the European Modeling and Simulation Symposium, 368-372, 2012
72012
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
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
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 17, 79-99, 2020
42020
Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals
M Affenzeller, B Burlacu, S Winkler, M Kommenda, G Kronberger, ...
International Conference on Computer Aided Systems Theory, 424-431, 2017
42017
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
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
32018
Analysis of schema frequencies in genetic programming
B Burlacu, M Affenzeller, M Kommenda, G Kronberger, S Winkler
International Conference on Computer Aided Systems Theory, 432-438, 2017
32017
Building blocks identification based on subtree sample counts for genetic programming
B Burlacu, M Kommenda, M Affenzeller
2015 Asia-Pacific Conference on Computer Aided System Engineering, 152-157, 2015
32015
Multiobjective design of evolutionary hybrid neural networks
L Ferariu, B Burlacu
The 17th International Conference on Automation and Computing, 195-200, 2011
32011
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
22020
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