started with gn_alg

03_euler_gen_alg.py

@@ -1,2 +1,40 @@
 import numpy as np
-import matplotlib.pyplot as plt
+import random
+import scipy.integrate
+
+# import matplotlib.pyplot as plt
+
+def generate_random_individuals():
+    a = random.randrange(10)
+    b = random.randrange(10)
+    c = random.randrange(10)
+    d = random.randrange(10)
+
+    return [a, b, c, d]
+
+def integrate_individual(function):
+    result = scipy.integrate.quad(function, -3, 3)
+    return result
+
+def quadratic_error(original_fn, approx_fn, n):
+    error = 0
+    
+    for i in range(n):
+        error += (original_fn(i) - approx_fn(i))**2
+        
+    return error
+
+def e_fn_approx(a, b, c, d, x = 1):
+    return a*x**3 + b*x**2 + c*x + d
+
+e_func = lambda x: np.e**x
+fixed_approx = 1 # TODO
+
+while quadratic_error(e_func, fixed_approx, n) > 0.01:
+    # berechne fitness
+    # selection
+    # crossover
+    # mutation
+    
+    # neue population
+    print("Hello World")