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
October 27, 2025 at 2:21 PM
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
TinyverseGP: Minimalistic implementations of different representations for Genetic Programming github.com/gpbench/tiny... #mlsky #artificialintelligence #geneticprogramming
GitHub - GPBench/TinyverseGP
Contribute to GPBench/TinyverseGP development by creating an account on GitHub.
github.com
June 12, 2025 at 5:59 PM
TinyverseGP: Minimalistic implementations of different representations for Genetic Programming github.com/gpbench/tiny... #mlsky #artificialintelligence #geneticprogramming
In honor of the Jaws 50th Anniversary, I present the book better known as Jaws I. #IYKYK #geneticprogramming #Jaws50 #MLSky
June 20, 2025 at 9:34 PM
In honor of the Jaws 50th Anniversary, I present the book better known as Jaws I. #IYKYK #geneticprogramming #Jaws50 #MLSky
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
GPTP
gptp-workshop.com
June 5, 2025 at 1:21 PM
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
Excited to be at the Univ of Michigan this week for the Genetic Programming Theory and Practice (GPTP) workshop. I will present this morning my work on agentic AI. My 19th year participating! #gptp2026 #ai #geneticprogramming #annarbor @umich.edu
June 4, 2026 at 1:19 PM
Excited to be at the Univ of Michigan this week for the Genetic Programming Theory and Practice (GPTP) workshop. I will present this morning my work on agentic AI. My 19th year participating! #gptp2026 #ai #geneticprogramming #annarbor @umich.edu
Is the evolution metaphor still necessary or even useful for genetic programming? link.springer.com/article/10.1... #geneticprogramming #machinelearning #artificialintelligence #datascience
Is the evolution metaphor still necessary or even useful for genetic programming? - Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines -
link.springer.com
February 19, 2025 at 5:08 PM
Is the evolution metaphor still necessary or even useful for genetic programming? link.springer.com/article/10.1... #geneticprogramming #machinelearning #artificialintelligence #datascience
Programacion Genetica en Java: motor que evoluciona expresiones para regresion simbolica. Arboles, escalado lineal, elitismo, parsimonia, 61 tests.
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
May 28, 2026 at 5:20 PM
Programacion Genetica en Java: motor que evoluciona expresiones para regresion simbolica. Arboles, escalado lineal, elitismo, parsimonia, 61 tests.
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
Are there any #geneticprogramming people here?
I'm wondering if GPEM should be on here as well as / instead of on Twitter. Same question for LinkedIn, Mastodon, Instagram.
I'm wondering if GPEM should be on here as well as / instead of on Twitter. Same question for LinkedIn, Mastodon, Instagram.
November 12, 2024 at 11:23 PM
Are there any #geneticprogramming people here?
I'm wondering if GPEM should be on here as well as / instead of on Twitter. Same question for LinkedIn, Mastodon, Instagram.
I'm wondering if GPEM should be on here as well as / instead of on Twitter. Same question for LinkedIn, Mastodon, Instagram.
Our new preprint on using agentic AI to autonomously configure genetic programming for symbolic regression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
August 19, 2026 at 3:59 PM
Our new preprint on using agentic AI to autonomously configure genetic programming for symbolic regression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
⚠️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
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
April 9, 2025 at 12:29 PM
⚠️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
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
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...
link.springer.com
March 4, 2025 at 5:24 PM
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
Explaining Genetic Programming Trees using Large Language Models arxiv.org/html/2403.03... #llms #geneticprogramming #xai
Explaining Genetic Programming Trees using Large Language Models
arxiv.org
August 29, 2024 at 2:56 PM
Explaining Genetic Programming Trees using Large Language Models arxiv.org/html/2403.03... #llms #geneticprogramming #xai
Os dejo por aquí el artículo de medium que escribí sobre mi experiencia en la implementación completa de la Programación Genética (GP) en Java puro, la verdad es que fue una experiencia muy interesante.
medium.com/@giskard_359...
#Java #GeneticProgramming #MachineLearning #EvolutionaryComputation
medium.com/@giskard_359...
#Java #GeneticProgramming #MachineLearning #EvolutionaryComputation
Ingeniería de la Evolución: Cómo construí un motor de Regresión Simbólica en Java desde cero
Durante las últimas semanas he estado construyendo un motor de Programación Genética en Java, capaz de evolucionar expresiones matemáticas…
medium.com
June 17, 2026 at 11:27 AM
Os dejo por aquí el artículo de medium que escribí sobre mi experiencia en la implementación completa de la Programación Genética (GP) en Java puro, la verdad es que fue una experiencia muy interesante.
medium.com/@giskard_359...
#Java #GeneticProgramming #MachineLearning #EvolutionaryComputation
medium.com/@giskard_359...
#Java #GeneticProgramming #MachineLearning #EvolutionaryComputation
GP and LLMs for Program Synthesis: No Clear Winners arxiv.org/abs/2508.03966 #geneticprogramming #llms #coding
GP and LLMs for Program Synthesis: No Clear Winners
Genetic programming (GP) and large language models (LLMs) differ in how program specifications are provided: GP uses input-output examples, and LLMs use text descriptions. In this work, we compared th...
arxiv.org
August 7, 2025 at 5:23 PM
GP and LLMs for Program Synthesis: No Clear Winners arxiv.org/abs/2508.03966 #geneticprogramming #llms #coding
Is the evolution metaphor still necessary or even useful for genetic programming? link.springer.com/article/10.1... #artificialintelligence #machinelearning #geneticprogramming
Is the evolution metaphor still necessary or even useful for genetic programming? - Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines -
link.springer.com
June 6, 2025 at 2:55 PM
Is the evolution metaphor still necessary or even useful for genetic programming? link.springer.com/article/10.1... #artificialintelligence #machinelearning #geneticprogramming
A Comparison of Large Language Models and Genetic Programming for Program Synthesis ieeexplore.ieee.org/abstract/doc... #llms #geneticprogramming #coding
A Comparison of Large Language Models and Genetic Programming for Program Synthesis
Large language models have recently become known for their ability to generate computer programs, especially through tools such as GitHub Copilot, a domain where genetic programming has been very succ...
ieeexplore.ieee.org
June 13, 2024 at 7:21 PM
A Comparison of Large Language Models and Genetic Programming for Program Synthesis ieeexplore.ieee.org/abstract/doc... #llms #geneticprogramming #coding
New issue just announced, including several items with open access:
link.springer.com/journal/1071...
#geneticprogramming
#programsynthesis
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
link.springer.com
November 27, 2024 at 2:42 PM
New issue just announced, including several items with open access:
link.springer.com/journal/1071...
#geneticprogramming
#programsynthesis
link.springer.com/journal/1071...
#geneticprogramming
#programsynthesis
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
January 14, 2025 at 8:31 PM
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
"Why do people imagine that they can automate program-writing? And why do they imagine they want code written by computers? I think, increasingly, that it’s because they rarely think about the social work that code does."—Bill Tozier #geneticprogramming
February 18, 2018 at 9:10 PM
"Why do people imagine that they can automate program-writing? And why do they imagine they want code written by computers? I think, increasingly, that it’s because they rarely think about the social work that code does."—Bill Tozier #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
“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
Genetic Programming and Evolvable Machines -
link.springer.com
November 29, 2024 at 2:00 PM
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
“Computational evolution of neural and morphological development”, Yaochu Jin, reviewed by Renske Vroomans.
link.springer.com/article/10.1...
No paywall.
#geneticprogramming #programsynthesis #alife
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 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
link.springer.com
April 9, 2025 at 3:58 PM
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 collection: link.springer.com/collections/...
Where are we now? A large benchmark study of recent symbolic regression methods (2018) dl.acm.org/doi/abs/10.1... #GECCO #geneticprogramming #symbolicregression
Where are we now? | Proceedings of the Genetic and Evolutionary Computation Conference
dl.acm.org
September 30, 2025 at 10:32 PM
Where are we now? A large benchmark study of recent symbolic regression methods (2018) dl.acm.org/doi/abs/10.1... #GECCO #geneticprogramming #symbolicregression
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", 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...
link.springer.com
April 8, 2025 at 9:30 PM
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", by Keyvanpour et al.
link.springer.com/article/10.1...
#geneticprogramming
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
...keep up the momentum to get your paper ready for a GPEM submission!
#geneticprogramming
April 3, 2025 at 1:10 PM
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
...keep up the momentum to get your paper ready for a GPEM submission!
#geneticprogramming
⚠️(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
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
April 9, 2025 at 4:20 PM
⚠️(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
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