hmep-0.0.0: README.md

# 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](http://hackage.haskell.org/package/moo),
[GA](http://hackage.haskell.org/package/moo),
and [moo](http://hackage.haskell.org/package/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](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.4352&rep=rep1&type=pdf),
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](http://hackage.haskell.org/package/moo) 
GA library, which inspired the present 
[hmep](http://github.com/masterdezign/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](https://en.wikipedia.org/wiki/Code_reuse).
For more details, please check http://mepx.org/papers.html and
https://en.wikipedia.org/wiki/Multi_expression_programming.