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 2020-03-01 to 2024-03-01.)
ArticleCitations
An enhanced Huffman-PSO based image optimization algorithm for image steganography30
Adversarial genetic programming for cyber security: a rising application domain where GP matters24
Learning feature spaces for regression with genetic programming23
Benchmarking state-of-the-art symbolic regression algorithms19
Choosing function sets with better generalisation performance for symbolic regression models15
Genetic programming convergence11
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators11
Graph representations in genetic programming10
Evolutionary approximation and neural architecture search8
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite7
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning6
Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios6
Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design6
Tag-based regulation of modules in genetic programming improves context-dependent problem solving5
Fuzzy cognitive maps for decision-making in dynamic environments5
Complexity and aesthetics in generative and evolutionary art5
Symbolic-regression boosting4
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set4
Constant optimization and feature standardization in multiobjective genetic programming3
Evolving continuous optimisers from scratch3
GP-DMD: a genetic programming variant with dynamic management of diversity3
Feature extraction by grammatical evolution for one-class time series classification3
Evolutionary algorithms for designing reversible cellular automata3
Severe damage recovery in evolving soft robots through differentiable programming3
Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way3
Experiments in evolutionary image enhancement with ELAINE3
On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics3
EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods2
A grammar-based GP approach applied to the design of deep neural networks2
Discovering novel memory cell designs for sentiment analysis on tweets2
Stock selection heuristics for performing frequent intraday trading with genetic programming2
Efficiency improvement of genetic network programming by tasks decomposition in different types of environments2
Software review: Pony GE22
Genetic programming-based regression for temporal data1
Jaws 301
A comparison of an evolvable hardware controller with an artificial neural network used for evolving the gait of a hexapod robot1
Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning1
Evolutionary design of swing-up controllers for stabilization task of underactuated inverted pendulums1
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
A semantic genetic programming framework based on dynamic targets1
Relationships between parent selection methods, looping constructs, and success rate in genetic programming1
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
Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon0
Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks0
Editorial introduction0
Evolutionary design and analysis of ribozyme-based logic gates0
Cellular geometric semantic genetic programming0
A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering0
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound0
Generating networks of genetic processors0
Is the evolution metaphor still necessary or even useful for genetic programming?0
Semantic segmentation network stacking with genetic programming0
Editorial introduction0
Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study0
Automatic generation of regular expressions for the Regex Golf challenge using a local search algorithm0
GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection0
Veni, Vidi, Evolvi commentary on W. B. Langdon’s “Jaws 30”0
A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit0
Semantic mutation operator for a fast and efficient design of bent Boolean functions0
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization0
Arthur I. Miller: The artist in the machine: the world of AI-powered creativity0
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation0
Editorial Introduction0
Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30”0
Neural network crossover in genetic algorithms using genetic programming0
Melanie Mitchell: Artificial intelligence—a guide for thinking humans0
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms0
Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all0
Evolutionary combination of connected event schemas into meaningful plots0
Using estimation of distribution algorithm for procedural content generation in video games0
W. B. Langdon “Jaws 30”0
Editorial introduction0
Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation0
Acknowledgement to reviewers (2020)0
Commentary on “Jaws 30”, by W. B. Langdon0
New directions in fitness evaluation: commentary on Langdon’s JAWS300
Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve0
Introduction to special issue on highlights of genetic programming 2022 events0
Geometric semantic genetic programming with normalized and standardized random programs0
Acknowledgment to reviewers (2021)0
GP+EM 20th anniversary editorial0
Review: Machado, Romero and Greenfield (editors): Artificial intelligence and the arts0
Framework for unsupervised incremental evolution of stylized images0
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling0
Inference of time series components by online co-evolution0
Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology0
Highlights of genetic programming 2020 events0
A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding0
Genetic programming for iterative numerical methods0
Response to comments on “Jaws 30”0
Artificial intelligence for fashion, Leanne Luce, Apress 2019, ISBN 978-1-4842-3930-8 how AI is revolutionizing the fashion industry0
A geometric semantic macro-crossover operator for evolutionary feature construction in regression0
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search0
Book Review: the evolution of complexity0
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