E-LIB Suche - Ergebnisse für: Burlacu, Bogdan

1

Shape-constrained Symbolic Regression: Real-World Applicati..:

, In: Genetic Programming Theory and Practice XX; Genetic and Evolutionary Computation,

Haider, Christian ; de Franca, Fabricio Olivetti ; Burlacu, Bogdan... - p. 225-240 , 2024

Link: https://doi.org/10.1007/..

2

Symbolic Regression in Materials Science: Discovering Inter..:

, In: Genetic and Evolutionary Computation; Genetic Programming Theory and Practice XIX,

Burlacu, Bogdan ; Kommenda, Michael ; Kronberger, Gabriel.. - p. 1-30 , 2023

Link: https://doi.org/10.1007/..

3

Population diversity and inheritance in genetic programming..:

Burlacu, Bogdan ; Yang, Kaifeng ; Affenzeller, Michael
Natural Computing. , 2023

Link: https://doi.org/10.1007/..

4

GECCO'2022 Symbolic Regression Competition: Post-Analysis o..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Burlacu, Bogdan - p. 2412-2419 , 2023

Link: https://dl.acm.org/doi/1..

5

Comparing optimistic and pessimistic constraint evaluation ..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,

Haider, Christian ; de França, Fabrício Olivetti ; Kronberger, Gabriel. - p. 938-945 , 2022

Link: https://dl.acm.org/doi/1..

6

White Box vs. Black Box Modeling: On the Performance of Dee..:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,

Affenzeller, Michael ; Burlacu, Bogdan ; Dorfer, Viktoria... - p. 288-295 , 2020

Link: https://doi.org/10.1007/..

7

Hash-Based Tree Similarity and Simplification in Genetic Pr..:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,

Burlacu, Bogdan ; Kammerer, Lukas ; Affenzeller, Michael. - p. 361-369 , 2020

Link: https://doi.org/10.1007/..

8

Operon C++ : an efficient genetic programming framework ..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,

Burlacu, Bogdan ; Kronberger, Gabriel ; Kommenda, Michael - p. 1562-1570 , 2020

Link: https://dl.acm.org/doi/1..

9

Symbolic Regression by Exhaustive Search: Reducing the Sear..:

, In: Genetic Programming Theory and Practice XVII; Genetic and Evolutionary Computation,

Kammerer, Lukas ; Kronberger, Gabriel ; Burlacu, Bogdan... - p. 79-99 , 2020

Link: https://doi.org/10.1007/..

10

Genetic Programming Based Evolvement of Models of Models:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,

Semenkina, Mariia ; Burlacu, Bogdan ; Affenzeller, Michael - p. 387-395 , 2020

Link: https://doi.org/10.1007/..

11

Models set pre-processing for genetic programming based evo..:

Semenkina, Mariia ; Burlacu, Bogdan ; Affenzeller, Michael.
IOP Conference Series: Materials Science and Engineering. 734 (2020) 1 - p. 012108 , 2020

Link: https://doi.org/10.1088/..

12

Parameter identification for symbolic regression using nonl..:

Kommenda, Michael ; Burlacu, Bogdan ; Kronberger, Gabriel.
Genetic Programming and Evolvable Machines. 21 (2019) 3 - p. 471-501 , 2019

Link: https://doi.org/10.1007/..

13

Cluster Analysis of a Symbolic Regression Search Space:

, In: Genetic and Evolutionary Computation; Genetic Programming Theory and Practice XVI,

Kronberger, Gabriel ; Kammerer, Lukas ; Burlacu, Bogdan... - p. 85-102 , 2019

Link: https://doi.org/10.1007/..

14

Parsimony measures in multi-objective genetic programming f..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Burlacu, Bogdan ; Kronberger, Gabriel ; Kommenda, Michael. - p. 338-339 , 2019

Link: https://dl.acm.org/doi/1..

15

Schema-based diversification in genetic programming:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,

Burlacu, Bogdan ; Affenzeller, Michael - p. 1111-1118 , 2018

Link: https://dl.acm.org/doi/1..