Top Tweets for #GeneticProgramming
Just released maintanance version 9.1.0 of the #Jenetics #Java library.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://t.co/saCJOXphrP
Just released version 9.0.0 of the #Jenetics #Java library. It now requires Java 25 to compile and run.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://t.co/zQI5vhiJEA
New book review at GPEM:
Book: "Symbolic Regression" by Kronberger et al
Review by La Cava
#geneticprogramming
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.
⚠️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
New paper in GPEM on requirements engineering:
"RSCID: requirements selection considering interactions and dependencies", by Keyvanpour et al.
#geneticprogramming
Just released version 8.2.0 of the #Jenetics #Java library.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://t.co/IgmUFE9dEH
The special issue on highlights of 2023 #geneticprogramming events, edited by Pappa, Giacobini, Ting Hu, and Jakobović is out:
🚀 Reading afain our research! 🌐 “Adversarial Genetic Programming for Cybersecurity” explores GP and co-evolutionary algorithms to model and defend against evolving cyber threats. 🔒💻
Read more: https://t.co/M8PM918le0
#Cybersecurity #AI #Research #GeneticProgramming
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: https://t.co/P2LbIHbzrT (deadline tbd) #geneticprogramming
Another new paper in GPEM!
'El Nino' weather events, characterised with equations, by Abdulkarimova et al.
#geneticprogramming
New paper in GPEM!
Blood glucose prediction - real-time in hardware, by Cano et al.
#geneticprogramming
"A good start is half the battle" - so initialisation in #geneticprogramming is important!
Aidan Murphy and colleagues investigate initialisation in structured grammatical evolution, in a new GPEM paper. Link next tweet.
New book review by Beatrice M. Ombuki-Berman, free to download from #geneticprogramming and Evolvable Machines journal:
Leonardo Vanneschi and Sara Silva's book, Lectures on Intelligent Systems
https://t.co/5kUKeGlGro
The 14th International Workshop on Genetic Improvement, co-located with ICSE 2025, Ottawa, Canada, 26 April - 4 May 2025 (One day, TBD)
Link next tweet.
#geneticprogramming
Wonderful image of different artistic styles evolved using #geneticprogramming in:
"Framework for unsupervised incremental evolution of stylized images", Florian Uhde, in GPEM in 2023
🔖[Cover Story, Volume 13, Issue 8 (August 2024)]
#Genetic Programming to Optimize 3D #Trajectories"
✍️by André Kotze, Moritz Jan Hildemann, Vítor Santos and Carlos Granell
->🔗 Cover article link: https://t.co/tAql1tZXpU
#trajectories
#geneticprogramming
![ISPRS_IJGI's tweet photo. 🔖[Cover Story, Volume 13, Issue 8 (August 2024)]
#Genetic Programming to Optimize 3D #Trajectories"
✍️by André Kotze, Moritz Jan Hildemann, Vítor Santos and Carlos Granell
->🔗 Cover article link: https://t.co/tAql1tZXpU
#trajectories
#geneticprogramming https://t.co/MSf7PdlY6n](https://pbs.twimg.com/media/GZXtLirXEAEnzdK.jpg)
New #GeneticProgramming paper, reporting on the hybridization of GP with LLMs for an improved evolutionary search for code:
Evolving code with a large language model (Hemberg, Moskal, O'Reilly)
https://t.co/w70BzTYh7e (open access)
Just released version 8.1.0 of the #Jenetics #Java library.
#GeneticAlgorithm #EvolutionaryAlgorithm #GrammaticalEvolution #GeneticProgramming #MultiobjectiveOptimization #MOEA
https://t.co/RfRjFLNh9W
Test cases for training #GeneticProgramming agents are difficult + costly to generate 🤯💸
What if we could leverage #LargeLanguageModels for this task? 💡
We tried it in our @GeccoConf paper 👉 https://t.co/USHVZRTArY
👀 Spoiler: adding curriculum learning works wonders 💥
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