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 2020-10-01 to 2024-10-01.)
ArticleCitations
An enhanced Huffman-PSO based image optimization algorithm for image steganography41
Graph representations in genetic programming15
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators14
Genetic programming convergence13
Evolutionary approximation and neural architecture search12
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite11
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning10
Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios9
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set8
Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design7
Constant optimization and feature standardization in multiobjective genetic programming5
Complexity and aesthetics in generative and evolutionary art5
Severe damage recovery in evolving soft robots through differentiable programming5
Tag-based regulation of modules in genetic programming improves context-dependent problem solving5
Evolving continuous optimisers from scratch5
Experiments in evolutionary image enhancement with ELAINE4
Evolutionary algorithms for designing reversible cellular automata4
Symbolic-regression boosting4
Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way3
A grammar-based GP approach applied to the design of deep neural networks3
Software review: Pony GE23
EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods3
A semantic genetic programming framework based on dynamic targets3
On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics3
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot3
Feature extraction by grammatical evolution for one-class time series classification3
GP-DMD: a genetic programming variant with dynamic management of diversity3
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization3
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit2
Discovering novel memory cell designs for sentiment analysis on tweets2
Efficiency improvement of genetic network programming by tasks decomposition in different types of environments2
Jaws 302
GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection2
Using estimation of distribution algorithm for procedural content generation in video games2
Architecture search of accurate and lightweight CNNs using genetic algorithm1
Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study1
Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution1
A genetic algorithm for rule extraction in fuzzy adaptive learning control networks1
A genetic programming approach to the automated design of CNN models for image classification and video shorts creation1
A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding1
Genetic programming-based regression for temporal data1
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning1
Relationships between parent selection methods, looping constructs, and success rate in genetic programming1
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 illustrations1
Semantic segmentation network stacking with genetic programming1
Genetic programming for iterative numerical methods1
Commentary on “Jaws 30”, by W. B. Langdon1
Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums1
Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity1
On the hybridization of geometric semantic GP with gradient-based optimizers0
Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation0
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering0
Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon0
Review: Machado, Romero and Greenfield (editors): Artificial intelligence and the arts0
Evolutionary design and analysis of ribozyme-based logic gates0
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming0
Generating networks of genetic processors0
Cellular geometric semantic genetic programming0
Is the evolution metaphor still necessary or even useful for genetic programming?0
Artificial intelligence for fashion, Leanne Luce, Apress 2019, ISBN 978-1-4842-3930-8 how AI is revolutionizing the fashion industry0
Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”0
A geometric semantic macro-crossover operator for evolutionary feature construction in regression0
Book Review: the evolution of complexity0
Evolutionary combination of connected event schemas into meaningful plots0
“The physics of evolution” by Michael W. Roth, Crc press, 20230
Hierarchical non-dominated sort: analysis and improvement0
Evolving code with a large language model0
Semantic mutation operator for a fast and efficient design of bent Boolean functions0
Acknowledgment to reviewers (2021)0
Framework for unsupervised incremental evolution of stylized images0
Editorial introduction0
Melanie Mitchell: Artificial intelligence—a guide for thinking humans0
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound0
Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all0
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms0
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling0
Automatic generation of regular expressions for the Regex Golf challenge using a local search algorithm0
New directions in fitness evaluation: commentary on Langdon’s JAWS300
A new representation in 3D VLSI floorplan: 3D O-Tree0
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction0
Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks0
W. B. Langdon “Jaws 30”0
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation0
Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation0
An ensemble learning interpretation of geometric semantic genetic programming0
Introduction to special issue on highlights of genetic programming 2022 events0
Editorial Introduction0
Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30”0
Chief editorship transition0
Inference of time series components by online co-evolution0
Neural network crossover in genetic algorithms using genetic programming0
Highlights of genetic programming 2020 events0
Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology0
Editorial introduction0
Acknowledgement to reviewers (2020)0
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search0
Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve0
A survey on dynamic populations in bio-inspired algorithms0
Geometric semantic genetic programming with normalized and standardized random programs0
Response to comments on “Jaws 30”0
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