Genetic Programming and Evolvable Machines

Papers
(The median citation count of Genetic Programming and Evolvable Machines is 0. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Highlights of genetic programming 2020 events20
Leonardo Vanneschi and Sara Silva: lectures on intelligent systems15
Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all13
Melanie Mitchell: Artificial intelligence—a guide for thinking humans12
Introducing Design Automation for Quantum Computing, Alwin Zulehner and Robert Wille. ISBN 978-3-030-41753-6, 2020, Springer International Publishing. 222 Pages, 51 b/w illustrations, 14 illustrations11
Memetic semantic boosting for symbolic regression10
Evolving code with a large language model9
Framework for unsupervised incremental evolution of stylized images8
Software review: Pony GE28
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot7
An ensemble learning interpretation of geometric semantic genetic programming7
Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30”7
Evolutionary design and analysis of ribozyme-based logic gates5
Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming5
Generating networks of genetic processors5
Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity5
Inference of time series components by online co-evolution5
Editorial introduction for the special issue on highlights of genetic programming 2023 events4
A genetic programming approach to the automated design of CNN models for image classification and video shorts creation4
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering4
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite4
Relationships between parent selection methods, looping constructs, and success rate in genetic programming3
On the hybridization of geometric semantic GP with gradient-based optimizers3
Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks3
Complexity and aesthetics in generative and evolutionary art3
Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design3
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation3
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis3
Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums3
“The physics of evolution” by Michael W. Roth, Crc press, 20233
Geometric semantic genetic programming with normalized and standardized random programs2
A survey on batch training in genetic programming2
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization2
Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming2
RSCID: requirements selection considering interactions and dependencies2
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.1
A new representation in 3D VLSI floorplan: 3D O-Tree1
New directions in fitness evaluation: commentary on Langdon’s JAWS301
Evolving continuous optimisers from scratch1
A grammar-based GP approach applied to the design of deep neural networks1
GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection1
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit1
On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics1
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search1
GP-DMD: a genetic programming variant with dynamic management of diversity1
Severe damage recovery in evolving soft robots through differentiable programming1
Book Review: the evolution of complexity1
A geometric semantic macro-crossover operator for evolutionary feature construction in regression1
Commentary on “Jaws 30”, by W. B. Langdon1
Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”1
A genetic algorithm for rule extraction in fuzzy adaptive learning control networks1
Tag-based regulation of modules in genetic programming improves context-dependent problem solving0
Chief editorship transition0
Response to comments on “Jaws 30”0
Experiments in evolutionary image enhancement with ELAINE0
Review: Machado, Romero and Greenfield (editors): Artificial intelligence and the arts0
Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios0
“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, 20240
Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology0
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning0
Editorial introduction0
Is the evolution metaphor still necessary or even useful for genetic programming?0
Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study0
A semantic genetic programming framework based on dynamic targets0
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound0
Architecture search of accurate and lightweight CNNs using genetic algorithm0
Acknowledgment to reviewers (2021)0
Evolutionary approximation and neural architecture search0
Review of PySR: high-performance symbolic regression in Python and Julia0
A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes0
A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding0
The science of soft robots, Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima: ISBN 978-9811951732, Springer 20230
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction0
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms0
Constant optimization and feature standardization in multiobjective genetic programming0
Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon0
Genetic programming-based regression for temporal data0
Jaws 300
Cellular geometric semantic genetic programming0
Benchmarking GSGP: Still competitive 10 years later?0
Artificial intelligence for fashion, Leanne Luce, Apress 2019, ISBN 978-1-4842-3930-8 how AI is revolutionizing the fashion industry0
Hierarchical non-dominated sort: analysis and improvement0
Genetic programming for iterative numerical methods0
An investigation into structured grammatical evolution initialisation0
Genetic programming convergence0
Evolutionary combination of connected event schemas into meaningful plots0
Editorial Introduction0
Semantic segmentation network stacking with genetic programming0
A survey on dynamic populations in bio-inspired algorithms0
Constraining genetic symbolic regression via semantic backpropagation0
W. B. Langdon “Jaws 30”0
Automatic generation of regular expressions for the Regex Golf challenge using a local search algorithm0
Harnessing evolutionary algorithms for enhanced characterization of ENSO events0
Using estimation of distribution algorithm for procedural content generation in video games0
Semantic mutation operator for a fast and efficient design of bent Boolean functions0
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming0
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set0
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning0
Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution0
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation0
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling0
Feature extraction by grammatical evolution for one-class time series classification0
Evolutionary algorithms for designing reversible cellular automata0
Introduction to special issue on highlights of genetic programming 2022 events0
Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation0
EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods0
Review: “Computational evolution of neural and morphological development”, Yaochu Jin, ISBN 978-981-99-1853-9, Springer, 20230
Neural network crossover in genetic algorithms using genetic programming0
Graph representations in genetic programming0
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