Mutation

Contains functions that generate sets of mutated clones from continuous or binary vectors, simulating the clonal expansion process in artificial immune systems.

clone_and_mutate_continuous

@njit([(types.float64[:], types.int64)], cache=True)
def clone_and_mutate_continuous(
    vector: npt.NDArray[np.float64],
    n: int
) -> npt.NDArray[np.float64]:

Generates a set of mutated clones from a continuous vector.

This function creates n clones of the input vector and applies random mutations to each one, simulating the clonal expansion process in artificial immune systems. Each clone receives a random number of mutations at distinct positions of the original vector.

Parameters

• vector (npt.NDArray[np.float64]): The original immune cell with continuous values to be cloned and mutated.
• n (int): Number of mutated clones to be generated.

Returns

• clone_set (npt.NDArray[np.float64]): Array with shape (n, len(vector)) containing the n mutated clones of the original vector.

---

clone_and_mutate_binary

@njit([(types.boolean[:], types.int64)], cache=True)
def clone_and_mutate_binary(
    vector: npt.NDArray[np.bool_],
    n: int
) -> npt.NDArray[np.bool_]:

Generates a set of mutated clones from a binary vector.

This function creates n clones of the input binary vector and applies random mutations to some bits, simulating clonal expansion in artificial immune systems with discrete representations.

Parameters

• vector (npt.NDArray[np.bool_]): The original immune cell with binary values to be cloned and mutated.
• n (int): Number of mutated clones to be generated.

Returns

• clone_set (npt.NDArray[np.bool_]): Array with shape (n, len(vector)) containing the n mutated clones of the original vector.

---

clone_and_mutate_ranged

@njit([(types.float64[:], types.int64, types.float64[:, :])], cache=True)
def clone_and_mutate_ranged(
    vector: npt.NDArray[np.float64],
    n: int,
    bounds: npt.NDArray[np.float64]
) -> npt.NDArray[np.float64]:

Generates a set of mutated clones from a continuous vector using custom bounds per dimension.

This function creates n clones of the input vector and applies random mutations to each of them, simulating the process of clonal expansion in artificial immune systems. Each clone will have a random number of mutations applied to distinct positions of the original vector, respecting the mutation bounds defined per dimension.

Parameters

• vector (npt.NDArray[np.float64]): The original immune cell with continuous values to be cloned and mutated.
• n (int): Number of mutated clones to be generated.
• bounds (npt.NDArray[np.float64]): A 2D array with shape (len(vector), 2) containing the minimum and maximum values for each dimension.

Returns

• clone_set (npt.NDArray[np.float64]): Array with shape (n, len(vector)) containing the n mutated clones of the original vector.