Python implementation of the SBB genetic programming algorithm for classification tasks (library).
VX: Python implementation of Symbiotic Bid-Based (SBB) framework for problem decomposition using Genetic Programming (GP). Algorithm developed by the NIMS laboratory, Dalhousie University, Canada. This implementation can be used as a library to apply GP to classification tasks.
Lichodzijewski, P. (2011) A Symbiotic Bid-Based (SBB) framework for problem decomposition using Genetic Programming, PhD Thesis (link)
2. How to Run
To run this algorithm in Python:
from vx.SBB.sbb import SBB from vx.SBB.config import Config if __name__ == "__main__": Config.check_parameters() SBB().run()
All configurable options are in the SBB/config.py file, in the variable CONFIG.
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