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Python implementation of Ant Colony Optimization for Continuous Domains

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ACO_R

Python implementation of Ant Colony Optimization for Continuous Domains.

The script is able to track the fitness of the objective and multiple responses.

The function implemented is the Styblinski–Tang optimization test function. Any other function can be used if implemented in the same way.

The script is called with:

python acor.py <foldername>

where foldername indicates where the output file will be generated.

Requirements

  • Python 2.7+
  • scipy
  • numpy
  • matplotlib
  • multiprocessing (for parallel computations)

Licence

This package is distributed under the GNU General Public License version 2.0 (GPLv2).

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Python implementation of Ant Colony Optimization for Continuous Domains

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