As an initiative to keep an implementation of the recent nature-inspired metaheuristics as well as the classical ones in a single open source framework, we introduce EvoloPy. EvoloPy is an open source and cross-platform Python framework that implements a wide range of metaheuristic algorithms. The goal is to take the advantage of the rapidly growing scientific community of Python and provide a set of robust optimizers as free and open source software. We believe that implementing such algorithms in Python will increase their popularity and portability among researchers and non-specialists coming from different domains. The powerful libraries and packages available in Python (such as NumPy) will make it more feasible to apply metaheuristics for solving complex problems on a much higher scale.
Our poster of EvoloPy was accepted in the ECTA conference and we recently presented it in Porto. Have a look at the paper and poster source:
Paper source: https://github.com/7ossam81/EvoloPy
Poster source: https://github.com/7ossam81/EvoloPy-poster
List of available optimizers: https://github.com/7ossam81/EvoloPy/wiki/List-of-optimizers
Thank you Python and NumPy :)