Genetic Programming and Evolvable Machines

Papers
(The TQCC of Genetic Programming and Evolvable Machines is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Evolutionary design and analysis of ribozyme-based logic gates48
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot32
On fitting numerical features into probabilistic distributions to represent data for fuzzy pattern trees21
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering20
Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression17
Geometric semantic genetic programming with normalized and standardized random programs15
A new representation in 3D VLSI floorplan: 3D O-Tree12
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.11
A genetic algorithm for rule extraction in fuzzy adaptive learning control networks10
An investigation into structured grammatical evolution initialisation9
Julian Togelius: Artificial General Intelligence, The MIT Press Essential Knowledge series, 2024, paperback, 230 pages, ISBN:97802625493499
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming8
“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, 20246
Evolutionary combination of connected event schemas into meaningful plots6
Semantic segmentation network stacking with genetic programming6
Semantic mutation operator for a fast and efficient design of bent Boolean functions6
A survey on dynamic populations in bio-inspired algorithms5
Hierarchical non-dominated sort: analysis and improvement5
RSCID: requirements selection considering interactions and dependencies4
A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes4
A structure-based genetic programming generation constructive hyper-heuristic with transfer learning for combinatorial optimisation4
An oversampling method based on adaptive artificial immune network and SMOTE4
Introducing look-ahead into relocation rules generated with genetic programming for the container relocation problem4
A genetic programming approach to the automated design of CNN models for image classification and video shorts creation4
A survey on batch training in genetic programming3
New directions in fitness evaluation: commentary on Langdon’s JAWS303
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms3
Exploring grammar-guided design and evolution of polyominoes with modular soft robots3
Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums3
Chaotic map-coded metaheuristics for metameric variable-length problems3
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis3
The science of soft robots, Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima: ISBN 978-9811951732, Springer 20233
0.061254978179932