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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.

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Geepers

PyPI version

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.

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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.

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