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ORCIDGenetic Programming and Evolvable Machines, Volume 24
Volume 24, Number 1, June 2023
- S. R. Mirshafaei, Hashem Saberi Najafi, Esmaeel Khaleghi
, Amir Hosein Refahi Sheikhani:
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering. 1 - Florian Uhde:
Framework for unsupervised incremental evolution of stylized images. 2 - Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound. 3 - Matthew Andres Moreno, Alexander Lalejini, Charles Ofria:
Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity. 4 - Fraser Borrett, Mark Beckerleg:
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot. 5 - Jordan J. Bird, Ahmad Lotfi:
Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation. 6 - Pablo Gervás, Gonzalo Méndez, Eugenio Concepción:
Evolutionary combination of connected event schemas into meaningful plots. 7
Volume 24, Number 2, December 2023
- Marlen Meza-Sánchez, María del Carmen Rodríguez Liñán, Eddie Clemente, Leonardo Herrera:
Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums. 9 - Izabela Rejer, Krzysztof Lorenz:
GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection. 10 - Nicolas Kamel, Nawwaf Kharma, Jonathan Perreault:
Evolutionary design and analysis of ribozyme-based logic gates. 11 - Mathias K. Nilsen, Tønnes F. Nygaard, Kai Olav Ellefsen:
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms. 12 - Fabrício Olivetti de França:
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization. 13 - Mohammad-Hassan Tayarani-Najaran:
A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding. 14 - Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi:
Semantic segmentation network stacking with genetic programming. 15 - Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli:
On the hybridization of geometric semantic GP with gradient-based optimizers. 16 - David Wittenberg, Franz Rothlauf, Christian Gagné:
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search. 17 - Leonardo Vanneschi, Leonardo Trujillo:
Introduction to the peer commentary special section on "Jaws 30" by W. B. Langdon. 18 - William B. Langdon:
Jaws 30. 19 - Mauro Castelli:
Commentary for the GPEM peer commentary special section on W. B. Langdon's "Jaws 30". 20 - Jason H. Moore:
Is the evolution metaphor still necessary or even useful for genetic programming? 21 - Colin G. Johnson:
New directions in fitness evaluation: commentary on Langdon's JAWS30. 22 - Alberto Bartoli, Luca Manzoni, Eric Medvet:
Commentary on "Jaws 30", by W. B. Langdon. 23 - Giovanni Squillero, Alberto Tonda:
Veni, Vidi, Evolvi commentary on W. B. Langdon's "Jaws 30". 24 - Malcolm I. Heywood:
W. B. Langdon "Jaws 30". 25 - William B. Langdon:
Response to comments on "Jaws 30". 26 - Evgeniya Kabliman:
Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology. 8
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