55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
import numpy as np
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import random
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import struct
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# import matplotlib.pyplot as plt
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def generate_random_individuals():
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g = format(random.getrandbits(32), '32b')
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# val = int(b, 2) / 25.5 * 10 # conversion to 0.0 - 10.0 float
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return val
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def grey_to_bin(gray):
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"""Convert Gray code to binary, operating on the integer value directly"""
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num = int(gray, 2) # Convert string to integer
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mask = num
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while mask != 0:
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mask >>= 1
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num ^= mask
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return format(num, f'0{len(gray)}b') # Convert back to binary string with same length
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def bin_to_grey(binary):
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"""Convert binary to Gray code using XOR with right shift"""
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num = int(binary, 2) # Convert string to integer
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gray = num ^ (num >> 1) # Gray code formula: G = B ^ (B >> 1)
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return format(gray, f'0{len(binary)}b') # Convert back to binary string with same length
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def quadratic_error(original_fn, approx_fn, n):
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error = 0.0
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for i in range(n):
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error += (original_fn(i) - approx_fn(i))**2
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return error
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def e_fn_approx(a, b, c, d, x = 1):
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return a*x**3 + b*x**2 + c*x + d
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def fuck_that_shit_up():
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e_func = lambda x: np.e**x
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fixed_approx = lambda x: e_fn_approx(1.0, 0.1, 0.2, 1.0, x)
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while quadratic_error(e_func, fixed_approx, 6) > 0.01:
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pass
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# berechne fitness
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# selection
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# crossover
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# mutation
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# neue population
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return 0
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b = format(random.getrandbits(32), '32b')
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print(b)
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# print(quadratic_error(e_func, fixed_approx, 6)) # hopefully works |