Genetic Programming and Evolvable Machines

Papers
(The TQCC of Genetic Programming and Evolvable Machines is 3. 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
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
Relationships between parent selection methods, looping constructs, and success rate in genetic programming3
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