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 2021-08-01 to 2025-08-01.)
ArticleCitations
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering21
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot18
Evolutionary design and analysis of ribozyme-based logic gates16
Geometric semantic genetic programming with normalized and standardized random programs15
Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design15
A genetic algorithm for rule extraction in fuzzy adaptive learning control networks14
Severe damage recovery in evolving soft robots through differentiable programming12
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.10
An investigation into structured grammatical evolution initialisation9
A new representation in 3D VLSI floorplan: 3D O-Tree9
Julian Togelius: Artificial General Intelligence, The MIT Press Essential Knowledge series, 2024, paperback, 230 pages, ISBN:97802625493498
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming8
A semantic genetic programming framework based on dynamic targets8
Evolutionary combination of connected event schemas into meaningful plots6
Semantic mutation operator for a fast and efficient design of bent Boolean functions6
Hierarchical non-dominated sort: analysis and improvement6
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set6
A survey on dynamic populations in bio-inspired algorithms5
A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes5
Semantic segmentation network stacking with genetic programming5
“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, 20245
A genetic programming approach to the automated design of CNN models for image classification and video shorts creation4
Relationships between parent selection methods, looping constructs, and success rate in genetic programming4
An oversampling method based on adaptive artificial immune network and SMOTE4
Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums4
Highlights of genetic programming 2020 events4
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis4
New directions in fitness evaluation: commentary on Langdon’s JAWS303
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit3
Chaotic map-coded metaheuristics for metameric variable-length problems3
On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics3
RSCID: requirements selection considering interactions and dependencies3
Evolving continuous optimisers from scratch3
A survey on batch training in genetic programming3
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms2
Constraining genetic symbolic regression via semantic backpropagation2
The science of soft robots, Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima: ISBN 978-9811951732, Springer 20232
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction2
Harnessing evolutionary algorithms for enhanced characterization of ENSO events2
Editorial introduction for the special issue on highlights of genetic programming 2023 events2
Experiments in evolutionary image enhancement with ELAINE1
“The physics of evolution” by Michael W. Roth, Crc press, 20231
An ensemble learning interpretation of geometric semantic genetic programming1
Chief editorship transition1
Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks1
Commentary on “Jaws 30”, by W. B. Langdon1
Cellular geometric semantic genetic programming1
On the hybridization of geometric semantic GP with gradient-based optimizers1
Generating networks of genetic processors1
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation1
Memetic semantic boosting for symbolic regression1
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation1
Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”1
Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30”1
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization1
Genetic programming for iterative numerical methods1
Introduction to special issue on highlights of genetic programming 2022 events1
Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity1
Quality-diversity in problems with composite solutions: a case study on body–brain robot optimization1
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning1
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