Always return minimum point, not current center

src/search.py

@@ -44,6 +44,9 @@ def min_search(
     x_center = x0
     y_min = function(x_center) if include_center else float("inf")
 
+    best_x = x_center
+    best_y = y_min
+
     for _ in range(iterations):
         for point in generate_bounded_points(x_center, neighbors_count, std_dev, function.definition_interval, rng):
             y_point = function(point)
@@ -51,9 +54,13 @@ def min_search(
                 y_min = y_point
                 x_center = point
 
+        if y_min < best_y:
+            best_y = y_min
+            best_x = x_center
+
         # If we're using Stochastic Hill Climber, reset the minimum value, to only
         # pick it from the newly generated points, not the current center
         if not include_center:
             y_min = float("inf")
 
-        yield x_center
+        yield best_x