GPEM journal
@gpem.bsky.social
Genetic Programming and Evolvable Machines journal https://link.springer.com/journal/10710 Editor-in-chief Leonardo Trujillo bsky feed maintained by James McDermott
New collection / submission type in GPEM, edited by Ting Hu: The Perspectives and Vision Collection of Genetic Programming and Evolvable Machines aims to foster forward-looking dialogue and critical reflection within the GP and evolutionary computation communities link.springer.com/collections/...
Client Challenge
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Two new Sections are open for submissions in GPEM: * Comments and Correspondence: link.springer.com/collections/... * Perspectives and Vision: link.springer.com/collections/...
Section: Comments and Correspondence
The Comments and Correspondence Collection of Genetic Programming and Evolvable Machines offers a space for short-form articles that engage with recently ...
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New special issue of GPEM on Evolutionary Computation in Art, Music and Design! Edited by Penousal Machado and Juan Romero link.springer.com/article/10.1...
Editorial Introduction to the Special Issue on Evolutionary Computation in Art, Music and Design - Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines -
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New book review, freely available in GPEM: “Reversible world of cellular automata” by Kenichi Morita, reviewed by Tomas Rokicki link.springer.com/article/10.1...
Kenichi Morita: Reversible world of cellular automata - Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines -
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GPEM Journal sends acknowledgements and thanks to recent reviewers (too many to list here!): link.springer.com/article/10.1...
Acknowledgment to reviewers (2024) - Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines -
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GPEM Journal has a new CFP for a special issue in Generative AI and Evolutionary Computation for Software Engineering! This will be edited by Dominik Sobania See Leo's blogpost: gpemjournal.blogspot.com/2025/06/call... And special issue page: link.springer.com/collections/...
Call for Papers: Special Issue on Generative AI and Evolutionary Computation for Software Engineering
Special Issue Home: https://link.springer.com/collections/bcadcgjdjd Generative models, and mainly large language models, are already wide...
gpemjournal.blogspot.com
GPEM journal has a new special issue on "twenty-five years of grammatical evolution"! Edited and with an introduction by Mahdinejad, Murphy and Ryan. Special issue: link.springer.com/collections/... Introduction: link.springer.com/article/10.1...
Special Issue on Twenty-Five Years of Grammatical Evolution
By invitation only- GECCO conference ("GEWS2023 — Grammatical Evolution Workshop)
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A lot of book reviews in GPEM Journal, old and new, which are now fully open access!
New book review at GPEM: Book: "Symbolic Regression" by Kronberger et al Review by La Cava link.springer.com/article/10.1... #geneticprogramming
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. - Genetic Programming a...
Genetic Programming and Evolvable Machines -
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Our GPTP from last year is out! Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics link.springer.com/chapter/10.1... #geneticprogramming
Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics
Lexicase selectionLexicase selection is a successful parent selectionParent selection method in genetic programming that has outperformed other methods across multiple benchmark suitesBenchm...
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Geometric Semantic #geneticprogramming was a big breakthrough in GP in 2012. The relationship between syntax and semantics is - in one way - easy to understand and take advantage of. 10 years later (!), here is the GPEM special issue. Special issue collection: link.springer.com/collections/...
Special Issue for the Tenth Anniversary of Geometric Semantic Genetic Programming
Call for Papers: https://www.springer.com/journal/10710/updates/23957712
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New paper in GPEM on requirements engineering: "RSCID: requirements selection considering interactions and dependencies", by Keyvanpour et al. link.springer.com/article/10.1... #geneticprogramming
RSCID: requirements selection considering interactions and dependencies - Genetic Programming and Evolvable Machines
Requirements selection is one of the essential aspects of requirement engineering. So far, a lot of work has been done in this field. But, it is difficult to choose the right set of software requireme...
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Now that you've finished CEC revisions... and finalising EuroGP camera-ready.. and you have GECCO acceptance decisions... and you've finished GECCO workshop submissions... ...keep up the momentum to get your paper ready for a GPEM submission! #geneticprogramming
New book review in GPEM! Book: The science of soft robots, Suzumori et al. Review by: Medvet & Salvato link.springer.com/article/10.1... @ericmedvetts.bsky.social
"Constraining genetic symbolic regression via semantic backpropagation" by Reissman et al in GPEM #geneticprogramming link.springer.com/article/10.1...
Constraining genetic symbolic regression via semantic backpropagation - Genetic Programming and Evolvable Machines
Evolutionary symbolic regression approaches are powerful tools that can approximate an explicit mapping between input features and observation for various problems. However, ensuring that explored exp...
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The special issue on highlights of 2023 #geneticprogramming events, edited by Pappa, Giacobini, Ting Hu, and Jakobović is out: link.springer.com/article/10.1...
Editorial introduction for the special issue on highlights of genetic programming 2023 events - Genetic Programming and Evolvable Machines
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GECCO paper reviews are due in 1 hour! (poster reviews are due this time next week)
New paper in GPEM: "Memetic semantic boosting for symbolic regression" Leite & Schoenauer link.springer.com/article/10.1... #geneticprogramming
Memetic semantic boosting for symbolic regression - Genetic Programming and Evolvable Machines
This paper introduces a novel approach called semantic boosting regression (SBR), leveraging the principles of boosting algorithms in symbolic regression using a Memetic Semantic GP for Symbolic Regre...
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New feature! PySR v1.4 lets you define a template expression to optimize that both has learnable parameters AND learnable expressions:
We're excited to announce the first Evolving Self-organisation workshop at GECCO 2025! Submission deadline: March 26, 2025 More information: evolving-self-organisation-workshop.github.io
From Crary et al, a new article in GPEM: Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis link.springer.com/article/10.1...
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis - Genetic Programming and Evolvable Machines
This paper establishes the potential of accelerating the evaluation phase of tree-based genetic programming through contemporary field-programmable gate array (FPGA) technology. This exploration stems...
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Definitely not my field, but this seems quite innovative. Detail-free press release: bgr.com/science/ai-i... Open access research paper from last month: advanced.onlinelibrary.wiley.com/doi/10.1002/... #research #material #science #ai #design
From Alberto Tonda, a review of the PySR library, which is becoming a central resource for symbolic regression users: link.springer.com/article/10.1...
Review of PySR: high-performance symbolic regression in Python and Julia - Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines -
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Check out this conference: www.maeb2025.org XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados May 2025, Donostia-San Sebastián, Spain Submission deadline 22 February.
XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
El XVI Congreso Español de Metaheurística, Algoritmos Evolutivos y Bioinspirados (MAEB), pretende ser un foro de encuentro, discusión y transferencia de conocimientos entre investigadores en el campo ...
maeb2025.org
The 1st book review I took part in writing it's out on @gpem.bsky.social: 👉🏽 rdcu.be/d7wPp. Erica Salvato and I read "The science of soft robots", by Suzumori et al., a massive book spanning across many different topics related to desing and building of #softrobots.
Another new paper in GPEM! 'El Nino' weather events, characterised with equations, by Abdulkarimova et al. link.springer.com/article/10.1... #geneticprogramming
Harnessing evolutionary algorithms for enhanced characterization of ENSO events - Genetic Programming and Evolvable Machines
The El Niño-Southern Oscillation (ENSO) significantly influences the complexity and variability of the global climate system, driving its variability. ENSO events’ irregularity and unpredictability ar...
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New paper in GPEM! Blood glucose prediction - real-time in hardware, by Cano et al. link.springer.com/article/10.1... #geneticprogramming
New book review! “Computational evolution of neural and morphological development”, Yaochu Jin, reviewed by Renske Vroomans. link.springer.com/article/10.1... No paywall. #geneticprogramming #programsynthesis #alife
Review: “Computational evolution of neural and morphological development”, Yaochu Jin, ISBN 978-981-99-1853-9, Springer, 2023 - Genetic Programming and Evolvable Machines
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New issue just announced, including several items with open access: link.springer.com/journal/1071... #geneticprogramming #programsynthesis
Genetic Programming and Evolvable Machines | Volume 25, issue 2
Volume 25, issue 2 articles listing for Genetic Programming and Evolvable Machines
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