Metadata-Version: 2.1
Name: sgx
Version: 0.2.dev2
Summary: A population-less EA loosely inspired by a cool interpretation of the Darwinian theory
Home-page: https://github.com/squillero/sgx
Author: Giovanni Squillero
Author-email: squillero@polito.it
License: Apache-2.0
Project-URL: Bug Tracker, https://github.com/squillero/sgx/issues
Project-URL: Source Code, https://github.com/squillero/sgx
Description: The *Selfish Gene Algorithm* is a population-less evolutionary optimizer loosely inspired by the dashing interpretation of the Darwinian theory popularized in the scientific blockbuster [*The Selfish Gene*](https://en.wikipedia.org/wiki/The_Selfish_Gene). It enables a user to efficiently find the list parameters, either discrete symbols or real numbers, that maximizes a given target function
        
        Since 1998, the *Selfish Gene* was [exploited](https://goo.gl/Baw9I8) by different researchers, and a few brand new approaches derived from it. For celebrating (almost) a quarter century mark, it has been  rewritten from scratch in Python 3, with improved usability and tons of new features. 
        
Keywords: optimization evolutionary-algorithm computational-intelligence
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/markdown
