hmep: HMEP Multi Expression Programming – a genetic programming variant
A multi expression programming implementation with focus on speed.
https://en.wikipedia.org/wiki/Multi_expression_programming
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- hmep-0.0.0.tar.gz [browse] (Cabal source package)
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| Versions [RSS] | 0.0.0, 0.0.1, 0.1.0, 0.1.1 |
|---|---|
| Dependencies | base (>=4.7 && <5), containers , hmatrix , hmep , mersenne-random-pure64 , monad-mersenne-random , random , vector [details] |
| License | BSD-3-Clause |
| Copyright | 2017 Bogdan Penkovsky |
| Author | Bogdan Penkovsky |
| Maintainer | dev at penkovsky dot com |
| Category | AI |
| Home page | https://github.com/masterdezign/hmep#readme |
| Source repo | head: git clone https://github.com/masterdezign/hmep |
| Uploaded | by penkovsky at 2017年10月06日T22:37:54Z |
| Distributions | |
| Executables | hmep-demo |
| Downloads | 2700 total (2 in the last 30 days) |
| Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
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| Status | Docs uploaded by user [build log] All reported builds failed as of 2017年10月06日 [all 1 reports] |
Readme for hmep-0.0.0
[back to package description]Multi Expression Programming
You say, Haskell has not enough machine learning libraries?
Here is yet another one!
History
There exist many other Genetic Algorithm (GA) Haskell packages. Personally I have used simple genetic algorithm, GA, and moo for quite a long time. The last package was the most preferred, but the other two are also great.
However, when I came up with this MEP paper, to my surprise there was no MEP realization in Haskell. Soon I realized that existing GA packages are limited, and it would be more efficient to implement MEP from scratch.
That is how this package was started. I also wish to say thank you to the authors of the moo GA library, which inspired the present hmep package.
About MEP
Multi Expression Programming is a genetic programming variant encoding multiple solutions in the same chromosome. A chromosome is a computer program. Each gene is featuring code reuse. For more details, please check http://mepx.org/papers.html and https://en.wikipedia.org/wiki/Multi_expression_programming.