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ORCIDGenetic Programming and Evolvable Machines, Volume 26
Volume 26, Number 1, June 2025
- Renske Vroomans:
Review: "Computational evolution of neural and morphological development", Yaochu Jin, ISBN 978-981-99-1853-9, Springer, 2023. 1 - Liah Rosenfeld, Leonardo Vanneschi:
A survey on batch training in genetic programming. 2 - Jorge Cano
, José Ignacio Hidalgo, Oscar Garnica:
Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming. 3 - Ulviya Abdulkarimova, Rodrigo Abarca-del-Río, Pierre Collet:
Harnessing evolutionary algorithms for enhanced characterization of ENSO events. 4 - Leon Ingelse, José Ignacio Hidalgo, J. Manuel Colmenar, Nuno Lourenço, Alcides Fonseca:
A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes. 5 - Jose Manuel Muñoz Contreras, Leonardo Trujillo, Daniel E. Hernández, Luis A. Cardenas Florido:
Benchmarking GSGP: Still competitive 10 years later? 6 - Alberto Tonda:
Review of PySR: high-performance symbolic regression in Python and Julia. 7 - Christopher Crary, Wesley Piard, Greg Stitt, Benjamin M. Hicks, Caleb Bean, Bogdan Burlacu, Wolfgang Banzhaf:
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis. 8 - Eric Medvet, Erica Salvato:
The science of soft robots, Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima: ISBN 978-9811951732, Springer 2023. 9 - Saltuk Bugra Selçuklu:
"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. 10 - Alessandro Ferreira Leite, Marc Schoenauer:
Memetic semantic boosting for symbolic regression. 11 - Maximilian Reissmann, Yuan Fang, Andrew S. H. Ooi, Richard D. Sandberg:
Constraining genetic symbolic regression via semantic backpropagation. 12 - Gisele L. Pappa, Mario Giacobini, Ting Hu, Domagoj Jakobovic:
Editorial introduction for the special issue on highlights of genetic programming 2023 events. 13 - Mohammad Reza Keyvanpour, Zahra Karimi Zandian, Elham Sodagari:
RSCID: requirements selection considering interactions and dependencies. 14 - William G. La Cava:
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. 15 - Alberto Moraglio, Krzysztof Krawiec, Colin G. Johnson:
Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming. 16 - Vicente Martin Mastrocola:
Julian Togelius: Artificial General Intelligence, The MIT Press Essential Knowledge series, 2024, paperback, 230 pages, ISBN:9780262549349. 17 - Mahsa Mahdinejad, Aidan Murphy, Conor Ryan:
Introduction to special issue on twenty-five years of grammatical evolution. 18
Volume 26, Number 2, December 2025
- Haichuan Yang, Haotian Li, Yifei Yang, Naoya Chiba, Shingo Kagami, Koichi Hashimoto, Yuichi Nagata:
Chaotic map-coded metaheuristics for metameric variable-length problems. 19 - Leonardo Trujillo:
Acknowledgment to reviewers (2024). 21 - Eric Medvet, Samuele Lippolis, Giorgia Nadizar:
Quality-diversity in problems with composite solutions: a case study on body-brain robot optimization. 22 - Penousal Machado, Juan Romero:
Editorial Introduction to the Special Issue on Evolutionary Computation in Art, Music and Design. 23 - Tomas Rokicki:
Kenichi Morita: Reversible world of cellular automata. 24
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