diff --git a/NiaPy/algorithms/basic/foa.py b/NiaPy/algorithms/basic/foa.py
index e1f3e8f4..3f9360a3 100644
--- a/NiaPy/algorithms/basic/foa.py
+++ b/NiaPy/algorithms/basic/foa.py
@@ -56,11 +56,11 @@ def typeParameters():
 
         Returns:
             Dict[str, Callable]:
-                * lt (Callable[[int], bool]): TODO.
-                * al (Callable[[int], bool]): TODO.
-                * lsc (Callable[[int], bool]): TODO.
-                * gsc (Callable[[int], bool]): TODO.
-                * tr (Callable[[float], bool]): TODO.
+                * lt (Callable[[int], bool]): Checks if life time parameter has a proper value.
+                * al (Callable[[int], bool]): Checks if area limit parameter has a proper value.
+                * lsc (Callable[[int], bool]): Checks if local seeding changes parameter has a proper value.
+                * gsc (Callable[[int], bool]): Checks if global seeding changes parameter has a proper value.
+                * tr (Callable[[float], bool]): Checks if transfer rate parameter has a proper value.
 
         See Also:
             * :func:`NiaPy.algorithms.algorithm.Algorithm.typeParameters`
diff --git a/NiaPy/tests/test_foa.py b/NiaPy/tests/test_foa.py
index 404e8f36..2cecedd9 100644
--- a/NiaPy/tests/test_foa.py
+++ b/NiaPy/tests/test_foa.py
@@ -26,9 +26,9 @@ def test_type_parameters(self):
         self.assertFalse(tp['gsc'](0))
         self.assertFalse(tp['gsc'](-1))
         self.assertFalse(tp['gsc'](1.0))
-        self.assertTrue(tp['tr'](1))
+        self.assertTrue(tp['tr'](1.0))
         self.assertTrue(tp['tr'](0.5))
-        self.assertTrue(tp['tr'](0))
+        self.assertTrue(tp['tr'](0.0))
         self.assertFalse(tp['tr'](-1))
         self.assertFalse(tp['tr'](1.1))
 
diff --git a/examples/run_foa.py b/examples/run_foa.py
index f7e9849b..ed68b81c 100644
--- a/examples/run_foa.py
+++ b/examples/run_foa.py
@@ -15,5 +15,5 @@
     task = StoppingTask(D=10, nFES=10000, optType=OptimizationType.MINIMIZATION, benchmark=Sphere())
     algo = ForestOptimizationAlgorithm(NP=20, lt=5, lsc=1, gsc=1, al=20, tr=0.35)
     best = algo.run(task=task)
-    print best
+    print(best)