Genetic Programming and Evolvable Machines

Papers
(The median citation count of Genetic Programming and Evolvable Machines is 1. 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
Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression16
Severe damage recovery in evolving soft robots through differentiable programming16
Geometric semantic genetic programming with normalized and standardized random programs16
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
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set7
Semantic mutation operator for a fast and efficient design of bent Boolean functions7
“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
An oversampling method based on adaptive artificial immune network and SMOTE5
Semantic segmentation network stacking with genetic programming5
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
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 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
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
New directions in fitness evaluation: commentary on Langdon’s JAWS302
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction2
Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity2
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms2
Memetic semantic boosting for symbolic regression2
Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks2
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit2
Chaotic map-coded metaheuristics for metameric variable-length problems2
Constraining genetic symbolic regression via semantic backpropagation2
Editorial introduction for the special issue on highlights of genetic programming 2023 events2
GELS-SVR: a combination of grammatical evolution and least squares support vector regression for symbolic solution to Falkner-Skan equation2
The science of soft robots, Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima: ISBN 978-9811951732, Springer 20232
Harnessing evolutionary algorithms for enhanced characterization of ENSO events2
Quality-diversity in problems with composite solutions: a case study on body–brain robot optimization1
Chief editorship transition1
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation1
An ensemble learning interpretation of geometric semantic genetic programming1
Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming1
Commentary on “Jaws 30”, by W. B. Langdon1
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning1
Discovering continuous-time memory-based symbolic policies using genetic programming1
Acknowledgment to reviewers (2025)1
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization1
Cellular geometric semantic genetic programming1
Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”1
Experiments in evolutionary image enhancement with ELAINE1
Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30”1
“The physics of evolution” by Michael W. Roth, Crc press, 20231
Introduction to special issue on highlights of genetic programming 2022 events1
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