eckity.genetic_encodings.ga.int_vector

 1"""
 2This module implements the IntVector class.
 3"""
 4
 5from random import randint
 6
 7from eckity.genetic_encodings.ga.vector_individual import Vector
 8
 9MIN_BOUND = 2 ** 31 - 1
10MAX_BOUND = -2 ** 31
11
12
13class IntVector(Vector):
14    """
15    An Integer Vector individual representation for Genetic Algorithms operations.
16    It is represented by a list of integers.
17
18    Parameters
19    ----------
20    fitness : Fitness
21        Fitness handler class, responsible of keeping the fitness value of the individual.
22
23    length : int
24        Vector length - the number of cells in the vector.
25
26    bounds : tuple or list of tuples
27        Min/Max values for each vector cell (if of length n), or the minimum and maximum (if of length 1).
28    """
29    def __init__(self,
30                 fitness,
31                 length,
32                 bounds=(MIN_BOUND, MAX_BOUND),
33                 vector=None):
34        super().__init__(fitness, length=length, bounds=bounds, vector=vector)
35
36    def get_random_number_in_bounds(self, index):
37        """
38        Return a random number from possible cell values, according to bounds.
39
40        Parameters
41        ----------
42        index : int
43            cell index
44
45        Returns
46        -------
47        float
48            random value according to bounds field
49        """
50        if type(self.bounds) == tuple:
51            return randint(self.bounds[0], self.bounds[1])
52        return randint(self.bounds[index][0], self.bounds[index][1])
53
54# end class int vector