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 2021-02-01 to 2025-02-01.)
ArticleCitations
Highlights of genetic programming 2020 events16
Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all15
Generating networks of genetic processors13
Inference of time series components by online co-evolution12
Melanie Mitchell: Artificial intelligence—a guide for thinking humans11
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite10
Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity9
Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30”8
Framework for unsupervised incremental evolution of stylized images7
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering6
An ensemble learning interpretation of geometric semantic genetic programming5
Software review: Pony GE25
A genetic programming approach to the automated design of CNN models for image classification and video shorts creation5
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 illustrations5
Leonardo Vanneschi and Sara Silva: lectures on intelligent systems4
Evolutionary design and analysis of ribozyme-based logic gates4
Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming4
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot4
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators3
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation3
Relationships between parent selection methods, looping constructs, and success rate in genetic programming3
Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks3
Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums3
Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design3
Evolving code with a large language model3
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis3
Complexity and aesthetics in generative and evolutionary art3
Geometric semantic genetic programming with normalized and standardized random programs2
A survey on batch training in genetic programming2
On the hybridization of geometric semantic GP with gradient-based optimizers2
Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve2
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization2
“The physics of evolution” by Michael W. Roth, Crc press, 20232
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search1
New directions in fitness evaluation: commentary on Langdon’s JAWS301
A geometric semantic macro-crossover operator for evolutionary feature construction in regression1
A genetic algorithm for rule extraction in fuzzy adaptive learning control networks1
Evolving continuous optimisers from scratch1
Book Review: the evolution of complexity1
GP-DMD: a genetic programming variant with dynamic management of diversity1
A grammar-based GP approach applied to the design of deep neural networks1
Severe damage recovery in evolving soft robots through differentiable programming1
Commentary on “Jaws 30”, by W. B. Langdon1
On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics1
A new representation in 3D VLSI floorplan: 3D O-Tree1
Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”1
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
The science of soft robots, Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima: ISBN 978-9811951732, Springer 20230
Semantic segmentation network stacking with genetic programming0
Review of PySR: high-performance symbolic regression in Python and Julia0
Hierarchical non-dominated sort: analysis and improvement0
Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon0
An investigation into structured grammatical evolution initialisation0
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning0
EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods0
Neural network crossover in genetic algorithms using genetic programming0
Semantic mutation operator for a fast and efficient design of bent Boolean functions0
Experiments in evolutionary image enhancement with ELAINE0
Editorial introduction0
Constant optimization and feature standardization in multiobjective genetic programming0
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling0
Acknowledgement to reviewers (2020)0
Acknowledgment to reviewers (2021)0
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set0
Review: “Computational evolution of neural and morphological development”, Yaochu Jin, ISBN 978-981-99-1853-9, Springer, 20230
W. B. Langdon “Jaws 30”0
Review: Machado, Romero and Greenfield (editors): Artificial intelligence and the arts0
Harnessing evolutionary algorithms for enhanced characterization of ENSO events0
Jaws 300
Architecture search of accurate and lightweight CNNs using genetic algorithm0
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming0
Benchmarking GSGP: Still competitive 10 years later?0
Genetic programming-based regression for temporal data0
Chief editorship transition0
Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation0
Evolutionary algorithms for designing reversible cellular automata0
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms0
Feature extraction by grammatical evolution for one-class time series classification0
Genetic programming for iterative numerical methods0
Artificial intelligence for fashion, Leanne Luce, Apress 2019, ISBN 978-1-4842-3930-8 how AI is revolutionizing the fashion industry0
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation0
Efficiency improvement of genetic network programming by tasks decomposition in different types of environments0
Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios0
Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology0
A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding0
A survey on dynamic populations in bio-inspired algorithms0
Response to comments on “Jaws 30”0
Editorial introduction0
Evolutionary approximation and neural architecture search0
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound0
Tag-based regulation of modules in genetic programming improves context-dependent problem solving0
Symbolic-regression boosting0
Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution0
Introduction to special issue on highlights of genetic programming 2022 events0
Using estimation of distribution algorithm for procedural content generation in video games0
Genetic programming convergence0
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
Automatic generation of regular expressions for the Regex Golf challenge using a local search algorithm0
Cellular geometric semantic genetic programming0
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning0
Evolutionary combination of connected event schemas into meaningful plots0
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction0
Graph representations in genetic programming0
A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes0
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