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 2022-05-01 to 2026-05-01.)
ArticleCitations
Evolutionary design and analysis of ribozyme-based logic gates33
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot21
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering20
On fitting numerical features into probabilistic distributions to represent data for fuzzy pattern trees17
Severe damage recovery in evolving soft robots through differentiable programming16
Geometric semantic genetic programming with normalized and standardized random programs16
Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression16
A genetic algorithm for rule extraction in fuzzy adaptive learning control networks15
A new representation in 3D VLSI floorplan: 3D O-Tree14
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
Julian Togelius: Artificial General Intelligence, The MIT Press Essential Knowledge series, 2024, paperback, 230 pages, ISBN:97802625493499
An investigation into structured grammatical evolution initialisation8
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming8
Semantic mutation operator for a fast and efficient design of bent Boolean functions7
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set7
“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
Semantic segmentation network stacking with genetic programming5
An oversampling method based on adaptive artificial immune network and SMOTE5
Evolutionary combination of connected event schemas into meaningful plots4
A genetic programming approach to the automated design of CNN models for image classification and video shorts creation4
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
Hierarchical non-dominated sort: analysis and improvement4
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis4
A survey on dynamic populations in bio-inspired algorithms4
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
A survey on batch training in genetic programming3
RSCID: requirements selection considering interactions and dependencies3
Introducing look-ahead into relocation rules generated with genetic programming for the container relocation problem3
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