import numpy as np
import torch
def crossover_2point_bit(self):
Chrom, size_pop, len_chrom = self.Chrom, self.size_pop, self.len_chrom
half_size_pop = int(size_pop / 2)
Chrom1, Chrom2 = Chrom[:half_size_pop], Chrom[half_size_pop:]
mask = torch.zeros(size=(half_size_pop, len_chrom), dtype=torch.int8, device=self.device)
for i in range(half_size_pop):
n1, n2 = np.random.randint(0, self.len_chrom, 2)
if n1 > n2:
n1, n2 = n2, n1
mask[i, n1:n2] = 1
mask2 = (Chrom1 ^ Chrom2) & mask
Chrom1 ^= mask2
Chrom2 ^= mask2
return self.Chrom
