Thesis-OptimizationModules/macop/operators/policies/Policy.py

# main imports
import logging


# define policy to choose `operator` function at current iteration
class Policy():

    # here you can define your statistical variables for choosing next operator to apply
    def __init__(self, _operators):
        self.operators = _operators

    def select(self):
        """
        Select specific operator to solution and returns solution
        """
        raise NotImplementedError

    def apply(self, solution):
        """
        Apply specific operator chosen to solution and returns solution
        """

        operator = self.select()

        logging.info("---- Applying %s on %s" %
                     (type(operator).__name__, solution))

        # check kind of operator
        newSolution = operator.apply(solution)

        logging.info("---- Obtaining %s" % (solution))

        return newSolution