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An artificial bee colony implementation in Python

Project description


An artificial bee colony implementation in Python


To install with pip:

pip install honeybee


To use, first install the package as above, then define a function that you wish to optimize. This can be a simple mathematical formula, or something that calls a complicated model training routine. The important thing is that it depends on hyperparameters that can be passed to the function, and returns a fitness measure that will be maximized by the algorithm:

def my_func(**params):
    """ Implements Rastrigin's function of two inputs. """
    x = [v for v in params.values()]
    return 20 + sum([a**2 - 10*cos(2*np.pi*a) for a in x])

Next define the ranges of parameters over which you wish to optimize:

params = {'x1': (-5.12, 5.12),
          'x2': (-5.12, 5.12)}

Finally, initialize the colony and fit the objective function:

my_colony = Colony(my_func, params, num_bees=10)

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