ObjectivePerturbation

class ObjectivePerturbation(func, func_args, n_red=1)

Bases: Perturbation, ABC

Base class for perturbations performed by decreasing an objective function.

Parameters:

• func (Callable) – The objective function to be perturbed.

• func_args (List) – The arguments to be passed to the objective function.

• n_red (int) – The number of reduction steps to perform in one perturbation iteration (default is 1).

Attributes:

funcFuncWrapper

A wrapped version of the objective function with its arguments.

n_redint

The number of reduction steps to perform.

_kint

Keeps track of the number of performed perturbations.

Methods

perturbation_step(x)	Perform n_red perturbation steps on the input array.
post_step(x, *args, **kwargs)	If required perform any form of step after each perturbation in each iteration.
pre_step(x, *args, **kwargs)	If required perform any form of step previous to each perturbation in each iteration.
reset()	Reset the perturbation to its initial state.

perturbation_step(x)

Perform n_red perturbation steps on the input array.

Parameters:

x (ndarray[tuple[Any, ...], dtype[TypeVar(_ScalarT, bound= generic)]]) – The input array to be perturbed.

Return type:

ndarray

Returns:

The perturbed array after applying the reduction steps.

post_step(x, *args, **kwargs)

If required perform any form of step after each perturbation in each iteration.

This method is intended to be overridden by subclasses to implement specific post-step logic. By default, it does nothing.

Parameters:

x (ndarray[tuple[Any, ...], dtype[TypeVar(_ScalarT, bound= generic)]]) – Current iterate.

Return type:

None

pre_step(x, *args, **kwargs)

If required perform any form of step previous to each perturbation in each iteration.

This method is intended to be overridden by subclasses to implement specific pre-step logic. By default, it does nothing.

Parameters:

x (ndarray[tuple[Any, ...], dtype[TypeVar(_ScalarT, bound= generic)]]) – Current iterate.

Return type:

None

reset()

Reset the perturbation to its initial state.

Return type:

None