The first machine learning algorithm I developed using genetic programming was in LISP. Here is a GP implementation on GitHub github.com/gdobbins/gen... #geneticprogramming #LISP
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#GeneticProgramming
Posts tagged #GeneticProgramming on Bluesky
Where are we now? A large benchmark study of recent symbolic regression methods (2018) dl.acm.org/doi/abs/10.1... #GECCO #geneticprogramming #symbolicregression
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Multi‑Population Ensemble GP Boosts Classification
A new Ensemble GP (MEGP) framework splits features into independent views and fuses them with softmax layer. Tested on eight benchmarks it beat a baseline GP on Log‑Loss and AUC. Read more: getnews.me/multi-population-ensembl... #geneticprogramming #ensemblelearning
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GP and LLMs for Program Synthesis: No Clear Winners arxiv.org/abs/2508.03966 #geneticprogramming #llms #coding
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In honor of the Jaws 50th Anniversary, I present the book better known as Jaws I. #IYKYK #geneticprogramming #Jaws50 #MLSky
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TinyverseGP: Minimalistic implementations of different representations for Genetic Programming github.com/gpbench/tiny... #mlsky #artificialintelligence #geneticprogramming
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Is the evolution metaphor still necessary or even useful for genetic programming? link.springer.com/article/10.1... #artificialintelligence #machinelearning #geneticprogramming
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Excited to be at: Genetic Programming Theory & Practice (GPTP) is a small, invitation-only workshop. This year’s GPTP will be hosted by Michigan State University in East Lansing, MI on June 05-07, 2025 gptp-workshop.com/index.html #artificialintelligence #geneticprogramming
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New book review at GPEM:
Book: "Symbolic Regression" by Kronberger et al
Review by La Cava
link.springer.com/article/10.1...
#geneticprogramming
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This paper will be presented at #GECCO2025 but you can already read the pre-print at arxiv.org/abs/2501.17859
The source-code and binaries are available at github.com/folivetti/sr... together with additional info.
#GECCO2025 #SymbolicRegression #GeneticProgramming
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⚠️(another) New paper alert
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models introduces a new tool for symbolic models that allow the user to go beyond the traditional Pareto front.
#GECCO2025 #SymbolicRegression #GeneticProgramming
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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/...
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⚠️New paper alert ⚠️
Improving Genetic Programming for Symbolic Regression with Equality Graphs exploits e-graphs to generate equivalent expressions proposes new operators that creates unvisited expressions during the search.
#GECCO2025 #SymbolicRegression #GeneticProgramming
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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
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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
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"Constraining genetic symbolic regression via semantic backpropagation" by Reissman et al in GPEM
#geneticprogramming
link.springer.com/article/10.1...
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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...
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New paper in GPEM: "Memetic semantic boosting for symbolic regression"
Leite & Schoenauer
link.springer.com/article/10.1...
#geneticprogramming
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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
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Is the evolution metaphor still necessary or even useful for genetic programming? link.springer.com/article/10.1... #geneticprogramming #machinelearning #artificialintelligence #datascience
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Hey #symbolicregression folks! Are you working on something novel, crazy, bound to uncover the secrets of the universe? Don't keep it to yourself, join us at #gecco2025 SymReg workshop and let's discuss it over a coffee: heal.heuristiclab.com/research/sym... (deadline tbd) #geneticprogramming
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Another new paper in GPEM!
'El Nino' weather events, characterised with equations, by Abdulkarimova et al.
link.springer.com/article/10.1...
#geneticprogramming
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