add stochastic hill climbing example

Author: SimonBlanke

examples/optimization_techniques/stochastic_hill_climbing.py

@@ -0,0 +1,28 @@
+import numpy as np
+
+from hyperactive import Hyperactive
+from hyperactive.optimizers import StochasticHillClimbingOptimizer
+
+
+def sphere_function(para):
+    x = para["x"]
+    y = para["y"]
+
+    return -(x * x + y * y)
+
+
+search_space = {
+    "x": list(np.arange(-10, 10, 0.1)),
+    "y": list(np.arange(-10, 10, 0.1)),
+}
+
+opt = StochasticHillClimbingOptimizer(
+    epsilon=0.01,
+    n_neighbours=5,
+    distribution="laplace",
+    p_accept=0.05,
+)
+
+hyper = Hyperactive()
+hyper.add_search(sphere_function, search_space, n_iter=1500, optimizer=opt)
+hyper.run()