| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes
|
Ingelse, Leon
|
|
|
26 |
1 |
|
artikel
|
| 2 |
A review of “Symbolic Regression” by Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, and Michael Affenzeller, ISBN 978-1-138-05481-3, 2024, CRC Press.
|
La Cava, William G
|
|
|
26 |
1 |
|
artikel
|
| 3 |
A survey on batch training in genetic programming
|
Rosenfeld, Liah
|
|
|
26 |
1 |
|
artikel
|
| 4 |
Benchmarking GSGP: Still competitive 10 years later?
|
Muñoz Contreras, Jose Manuel
|
|
|
26 |
1 |
|
artikel
|
| 5 |
Constraining genetic symbolic regression via semantic backpropagation
|
Reissmann, Maximilian
|
|
|
26 |
1 |
|
artikel
|
| 6 |
Editorial introduction for the special issue on highlights of genetic programming 2023 events
|
Pappa, Gisele L.
|
|
|
26 |
1 |
|
artikel
|
| 7 |
Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming
|
Moraglio, Alberto
|
|
|
26 |
1 |
|
artikel
|
| 8 |
Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming
|
Cano, Jorge
|
|
|
26 |
1 |
|
artikel
|
| 9 |
Harnessing evolutionary algorithms for enhanced characterization of ENSO events
|
Abdulkarimova, Ulviya
|
|
|
26 |
1 |
|
artikel
|
| 10 |
Introduction to special issue on twenty-five years of grammatical evolution
|
Mahdinejad, Mahsa
|
|
|
26 |
1 |
|
artikel
|
| 11 |
Julian Togelius: Artificial General Intelligence, The MIT Press Essential Knowledge series, 2024, paperback, 230 pages, ISBN:9780262549349
|
Mastrocola , Vicente Martin
|
|
|
26 |
1 |
|
artikel
|
| 12 |
“Machine learning assisted evolutionary multi- and many-objective optimization” by Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, and Erik D. Goodman, ISBN 978-981-99-2095-2, Springer, 2024
|
Selçuklu, Saltuk Buğra
|
|
|
26 |
1 |
|
artikel
|
| 13 |
Memetic semantic boosting for symbolic regression
|
Leite, Alessandro
|
|
|
26 |
1 |
|
artikel
|
| 14 |
Review: “Computational evolution of neural and morphological development”, Yaochu Jin, ISBN 978-981-99-1853-9, Springer, 2023
|
Vroomans, Renske
|
|
|
26 |
1 |
|
artikel
|
| 15 |
Review of PySR: high-performance symbolic regression in Python and Julia
|
Tonda, Alberto
|
|
|
26 |
1 |
|
artikel
|
| 16 |
RSCID: requirements selection considering interactions and dependencies
|
Keyvanpour, Mohammad Reza
|
|
|
26 |
1 |
|
artikel
|
| 17 |
The science of soft robots, Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima: ISBN 978-9811951732, Springer 2023
|
Medvet, Eric
|
|
|
26 |
1 |
|
artikel
|
| 18 |
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis
|
Crary, Christopher
|
|
|
26 |
1 |
|
artikel
|
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