Bogdan Burlacu

Orcid: 0000-0001-8785-2959

According to our database1, Bogdan Burlacu authored at least 44 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Population diversity and inheritance in genetic programming for symbolic regression.
Nat. Comput., September, 2024

Multi-View Symbolic Regression.
CoRR, 2024

Enhancing the Computational Efficiency of Genetic Programming Through Alternative Floating-Point Primitives.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Multiview Symbolic Regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Backend-agnostic Tree Evaluation for Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
A precise symbolic emulator of the linear matter power spectrum.
CoRR, 2023

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.
CoRR, 2023

Shape-constrained multi-objective genetic programming for symbolic regression.
Appl. Soft Comput., 2023

Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation.
Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

GECCO'2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge.
Evol. Comput., 2022

Rank-based Non-dominated Sorting.
CoRR, 2022

Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.
Proceedings of the Genetic Programming Theory and Practice XIX [GPTP 2022], 2022

Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression.
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.
CoRR, 2021

Contemporary Symbolic Regression Methods and their Relative Performance.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
Parameter identification for symbolic regression using nonlinear least squares.
Genet. Program. Evolvable Mach., 2020

Operon C++: an efficient genetic programming framework for symbolic regression.
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.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Parsimony measures in multi-objective genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Genetic Programming Based Evolvement of Models of Models.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
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.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Cluster Analysis of a Symbolic Regression Search Space.
Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Schema-based diversification in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Schema Analysis in Tree-Based Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Measures for the Evaluation and Comparison of Graphical Model Structures.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Optimization Networks for Integrated Machine Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis of Schema Frequencies in Genetic Programming.
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.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016
Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016

2015
Multi-Population Genetic Programming with Data Migration for Symbolic Regression.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Methods for Genealogy and Building Block Analysis in Genetic Programming.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XIII [GPTP 2015]., 2015

On the Effectiveness of Genetic Operations in Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2014
Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.
Proceedings of the Genetic Programming Theory and Practice XII, 2014

Genetic programming with data migration for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Gaining Deeper Insights in Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

Visualization of genetic lineages and inheritance information in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

On the Evolutionary Behavior of Genetic Programming with Constants Optimization.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

2011
Multiobjective design of evolutionary hybrid neural networks.
Proceedings of the 17th International Conference on Automation and Computing, 2011

Multiobjective genetic programming with adaptive clustering.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2011


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