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from fealpy.backend import backend_manager as bm | ||
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def Logistic(pop_size, dim, miu=4): | ||
rand = bm.random.rand(pop_size, dim) | ||
for i in range(1, dim): | ||
rand[:, i] = miu * rand[:, i - 1] * (1 - rand[:, i - 1]) | ||
return rand | ||
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def Tent(pop_size, dim, tent=1.1): | ||
rand = bm.random.rand(pop_size, dim) | ||
for j in range(1, dim): | ||
mask = rand[:, j - 1] < tent | ||
rand[:, j] = bm.where(mask, rand[:, j - 1] / tent, (1 - rand[:, j - 1]) / (1 - tent)) | ||
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def Cubic(pop_size, dim): | ||
rand = bm.random.rand(pop_size, dim) | ||
cubic = 1 | ||
for j in range(1, dim): | ||
rand[:, j] = cubic * rand[:, j - 1] * (1 - rand[:, j - 1] ** 2) | ||
return rand | ||
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def Chebyshev(pop_size, dim, chebyshev=4): | ||
rand = bm.random.rand(pop_size, dim) | ||
for j in range(1, dim): | ||
rand[:, j] = bm.cos(chebyshev * bm.arccos(rand[:, j - 1])) | ||
return rand | ||
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def Piecewise(pop_size, dim, p=1): | ||
rand = bm.random.rand(pop_size, dim) | ||
for j in range(1, dim): | ||
prev_col = rand[:, j - 1] | ||
cond1 = (0 < prev_col) & (prev_col < p) | ||
cond2 = (p <= prev_col) & (prev_col < 0.5) | ||
cond3 = (0.5 <= prev_col) & (prev_col < 1 - p) | ||
cond4 = (1 - p <= prev_col) & (prev_col < 1) | ||
rand[:, j] = bm.where(cond1, prev_col / p, | ||
bm.where(cond2, (prev_col - p) / (0.5 - p), | ||
bm.where(cond3, (1 - p - prev_col) / (0.5 - p), | ||
bm.where(cond4, (1 - prev_col) / p, rand[:, j])))) | ||
return rand | ||
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def Sinusoidal(pop_size, dim, sinusoidal=2): | ||
rand = bm.random.rand(pop_size, dim) | ||
for j in range(1, dim): | ||
rand[:, j] = sinusoidal * rand[:, j - 1] ** 2 * bm.sin(bm.pi * rand[:, j - 1]) | ||
return rand | ||
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def Icmic(pop_size, dim ,icmic=2): | ||
rand = bm.random.rand(pop_size, dim) | ||
for j in range(1, dim): | ||
rand[:, j] = bm.sin(icmic / rand[:, j - 1]) | ||
return rand | ||
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def Bernouli(pop_size, dim, lammda=0.4): | ||
rand = bm.random.rand(pop_size, dim) | ||
prev_col = rand[:, :-1] | ||
condition = prev_col < (1 - lammda) | ||
rand[:, 1:] = bm.where( | ||
condition, | ||
prev_col / (1 - lammda), | ||
(prev_col - 1 + lammda) / lammda | ||
) | ||
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def Sine(pop_size, dim, alpha=1, beta=1): | ||
rand = bm.random.rand(pop_size, dim) | ||
for j in range(1, dim): | ||
rand[:, j] =alpha * bm.sin(beta * rand[:, j - 1]) | ||
return rand | ||
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def Circle(pop_size, dim, a=0.5, b=0.6): | ||
rand = bm.random.rand(pop_size, dim) | ||
for j in range(1, dim): | ||
rand[:, j] = (rand[:, j -1] + a - b / (2 * bm.pi) * bm.sin(2 * bm.pi * rand[:, j - 1])) % 1 | ||
return rand | ||
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def initialize(pop_size, dim, ub, lb, method=None): | ||
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pop = bm.zeros([pop_size, dim]) | ||
if method == None: | ||
rand = bm.random.rand(pop_size, dim) | ||
else: | ||
rand = method(pop_size, dim) | ||
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if isinstance(ub, (float, int)): | ||
pop = lb + rand * (ub - lb) | ||
else: | ||
for i in range(dim): | ||
pop[:, i] = rand[:, i] * (ub[i] - lb[i]) + lb[i] | ||
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return pop | ||
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if __name__ == "__main__": | ||
lb = [-1.5, -0.5] | ||
ub = [1.5, 2.5] | ||
x0 = initialize(5, 2, 1, 2, method=Cubic) | ||
print(x0) |