Metadata-Version: 2.0
Name: metaheuristic-algorithms-python
Version: 0.1.0
Summary: Various metaheuristic algorithms implemented in Python
Home-page: https://github.com/tadatoshi/metaheuristic_algorithms_python
Author: Tadatoshi Takahashi
Author-email: tadatoshi@gmail.com
License: MIT
Keywords: control optimization engineering
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.4

# MetaheuristicAlgorithmsPython

Various metaheuristic algorithms implemented in Python.

This is equivalent to MetaheuristicAlgorithms written in Ruby (https://github.com/tadatoshi/metaheuristic_algorithms). The reason why I wrote it in Python is that I would like to potentially utilize Python's Scientific Computing libraries. 

As a programming lanugage, I prefer Ruby, because it's fully Object-Oriented programming language (also Dynamic language) and because it has a community with the culture of writing unit tests. Both of these characteristics lead to cleaner, well structured, easy-to-maintain codes. Also it's easier to understand the other people's codes written in such a way. 

But scientists use Python for their activities such as Scientific Computing, Optimization, Data Science, Data Mining, Machine Learning etc. In other words, Python has a community of scientists.  

## Installation

Use ``pip3``:

```
pip3 install metaheuristic_algorithms_python
```

## Supported Platforms

* Python 3.4. 

It's not tested on Python 2.6 or 2.7 yet. 

## Available Algorithms

* Harmony Search

## Usage



## Development



## Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/tadatoshi/metaheuristic_algorithms_python. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](contributor-covenant.org) code of conduct.


## License

The project is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT).



