initial schwefel funciton definition

schwefel_functions.py

@@ -0,0 +1,37 @@
+import numpy as np
+
+def schwefel_1d(x):
+
+    return 418.9829  - x * np.sin(np.sqrt(np.abs(x)))
+
+def schwefel_nd(args):
+    output = 0
+
+    for dim in range(args):
+        output += schwefel_1d(args[dim])
+
+def add_gaussian_noise(signal, noise_level):
+
+    return signal + np.random.normal(0, noise_level, 1)[0]
+
+def schwefel_1d_with_noise(x, noise_level = 0.01):
+    # Calculate the Schwefel function value
+
+    schwefel_value = schwefel_1d(x)
+
+    # Add Gaussian noise to the Schwefel function value
+
+    noisy_schwefel_value = add_gaussian_noise(schwefel_value, noise_level)
+
+    return noisy_schwefel_value
+
+def schwefel_nd_with_noise(args, noise_level = 0.01):
+    # Calculate the Schwefel function value
+
+    schwefel_value = schwefel_nd(args)
+
+    # Add Gaussian noise to the Schwefel function value
+
+    noisy_schwefel_value = add_gaussian_noise(schwefel_value, noise_level)
+
+    return noisy_schwefel_value