Genetic algorithm
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Institute for Advanced Study
- Organisation type
- Academia
- Country
- United States of America
- Published
- 2 July 1954
- Authors
- NA Barricelli
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Mathematics, Biology
- Task
- Numerical simulation
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Historical significance
- Record confidence
- Unknown
- Citations
- 266
Possibly first computer simulation of a genetic evolution algorithm
Sources
Where this record came from and when it was last checked.
- Reference
- Numerical testing of evolution theories
- Last updated
- 28 November 2025
What the numbers mean
About this model
Genetic algorithm was published by Institute for Advanced Study, in United States of America, in July 1954. academia is the category the publisher falls under.
It works in Mathematics, Biology, and is recorded as doing numerical simulation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
How it was trained
It is tracked in the underlying dataset for one reason in particular: historical significance.
Answers
Genetic algorithm — common questions
What GPU do I need to run Genetic algorithm?
None. Genetic algorithm is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Genetic algorithm open source?
The licensing for Genetic algorithm was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Genetic algorithm have?
No parameter count has been published for Genetic algorithm, which is why no memory or speed figure appears on this page.
Who created Genetic algorithm?
Genetic algorithm was published by Institute for Advanced Study, based in United States of America, categorised as academia.
When was Genetic algorithm released?
Genetic algorithm was published in July 1954. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is Genetic algorithm used for?
Genetic algorithm works in Mathematics, Biology, and is recorded as handling numerical simulation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.