https://github.com/andreasnel/geepers

Source code used to evaluate the combination of Genetic Programming and Hyper-Heuristics to the Network Intrusion Detection problem, for the COS700 module at the University of Pretoria.
https://github.com/andreasnel/geepers

deap genetic-programming hyper-heuristic nid python3

Last synced: about 1 year ago
JSON representation

Source code used to evaluate the combination of Genetic Programming and Hyper-Heuristics to the Network Intrusion Detection problem, for the COS700 module at the University of Pretoria.

• Host: GitHub
• URL: https://github.com/andreasnel/geepers
• Owner: AndreasNel
• License: mit
• Created: 2018-09-30T15:34:16.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-11-06T17:20:51.000Z (over 7 years ago)
• Last Synced: 2025-03-03T07:03:10.514Z (over 1 year ago)
• Topics: deap, genetic-programming, hyper-heuristic, nid, python3
• Language: Python
• Size: 3.58 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Geepers

[![PyPI version](https://badge.fury.io/py/geepers-pkg.svg)](https://badge.fury.io/py/geepers-pkg)

This is a small toolkit that allows the user to create classifiers via genetic programming, which can then be used

by a hyper-heuristic (in this case a genetic algorithm) in order to improve results.

The current implementations are geared towards solving the Network Intrusion Detection problem, but users can easily

adapt this to any other problem by inheriting from the respective classes in `geepers/gp.py` and

`geepers/hyper_heuristics.py` and overwriting the relevant methods and attributes.