Fix global optima

jungtaekkim · Aug 4, 2023 · 8f4689b · 8f4689b
1 parent 68084d4
commit 8f4689b
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Showing 16 changed files with 186 additions and 47 deletions.
diff --git a/bayeso_benchmarks/one_dim_gramacyandlee2012.py b/bayeso_benchmarks/one_dim_gramacyandlee2012.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -28,9 +28,9 @@ def __init__(self, seed=None):
         assert bounds.shape[1] == 2
 
         global_minimizers = np.array([
-            [0.54856405],
+            [0.54856344],
         ])
-        global_minimum = -0.86901113
+        global_minimum = -0.8690111350
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/six_dim_hartmann6d.py b/bayeso_benchmarks/six_dim_hartmann6d.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -54,9 +54,9 @@ def __init__(self, seed=None):
         assert bounds.shape[1] == 2
 
         global_minimizers = np.array([
-            [0.20169, 0.150011, 0.476874, 0.275332, 0.311652, 0.6573],
+            [0.20168949, 0.15001068, 0.47687397, 0.27533242, 0.3116516, 0.65730054],
         ])
-        global_minimum = -3.322368
+        global_minimum = -3.3223680115
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/three_dim_hartmann3d.py b/bayeso_benchmarks/three_dim_hartmann3d.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -51,9 +51,9 @@ def __init__(self, seed=None):
         assert bounds.shape[1] == 2
 
         global_minimizers = np.array([
-            [0.114614, 0.555649, 0.852547],
+            [0.11458889, 0.55564889, 0.85254698],
         ])
-        global_minimum = -3.86278
+        global_minimum = -3.8627797874
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_branin.py b/bayeso_benchmarks/two_dim_branin.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -53,7 +53,7 @@ def __init__(self,
             [np.pi, 2.275],
             [9.42478, 2.475],
         ])
-        global_minimum = 0.3978874
+        global_minimum = 0.3978873577
         function = lambda bx: fun_target(bx, dim_bx, a, b, c, r, s, t)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_dejong5.py b/bayeso_benchmarks/two_dim_dejong5.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -48,7 +48,7 @@ def __init__(self, seed=None):
             [-32.0400369, -31.9824982],
             [-31.98255954, -32.04163256],
         ])
-        global_minimum = 0.9980038
+        global_minimum = 0.9980038378
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_eggholder.py b/bayeso_benchmarks/two_dim_eggholder.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: January 13, 2023
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -31,7 +31,7 @@ def __init__(self, seed=None):
         global_minimizers = np.array([
             [512.0, 404.2319],
         ])
-        global_minimum = -959.6406627
+        global_minimum = -959.6406627209
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_goldsteinprice.py b/bayeso_benchmarks/two_dim_goldsteinprice.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -39,7 +39,7 @@ def __init__(self, seed=None):
         global_minimizers = np.array([
             [0.0, -1.0],
         ])
-        global_minimum = 3.0
+        global_minimum = 2.9999999999
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_holdertable.py b/bayeso_benchmarks/two_dim_holdertable.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -34,7 +34,7 @@ def __init__(self, seed=None):
             [-8.05502347, 9.66459002],
             [-8.05502347, -9.66459002],
         ])
-        global_minimum = -19.2085026
+        global_minimum = -19.2085025679
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_kim1.py b/bayeso_benchmarks/two_dim_kim1.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: October 27, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -31,7 +31,7 @@ def __init__(self, seed=None):
         global_minimizers = np.array([
             [4.72130726, 3.17086303],
         ])
-        global_minimum = -1.9715232347905773
+        global_minimum = -1.9715232348
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_kim2.py b/bayeso_benchmarks/two_dim_kim2.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: October 27, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -36,7 +36,7 @@ def __init__(self, seed=None):
         global_minimizers = np.array([
             [-2.1013466, 34.14526252],
         ])
-        global_minimum = -3.454387473489018
+        global_minimum = -3.4543874735
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_kim3.py b/bayeso_benchmarks/two_dim_kim3.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: October 27, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -46,7 +46,7 @@ def __init__(self, seed=None):
         global_minimizers = np.array([
             [48.12477173, 34.19859065],
         ])
-        global_minimum = -4.943967919350982
+        global_minimum = -4.9439679194
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_michalewicz.py b/bayeso_benchmarks/two_dim_michalewicz.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -36,7 +36,7 @@ def __init__(self, seed=None):
         global_minimizers = np.array([
             [2.20290552, 1.57079632],
         ])
-        global_minimum = -1.8013034
+        global_minimum = -1.8013034101
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_shubert.py b/bayeso_benchmarks/two_dim_shubert.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: January 3, 2023
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -38,8 +38,15 @@ def __init__(self, seed=None):
 
         global_minimizers = np.array([
             [-7.08350641, -7.70831374],
+            [5.48286421, -7.70831373],
+            [-0.8003211, -7.70831374],
+            [4.85805688, -7.08350641],
+            [-7.70831374, -0.8003211],
+            [-7.70831374, 5.4828642],
+            [4.85805688, 5.48286421],
         ])
-        global_minimum = -186.73090883
+        global_minimum = -186.7309088311
+
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)
diff --git a/bayeso_benchmarks/two_dim_sixhumpcamel.py b/bayeso_benchmarks/two_dim_sixhumpcamel.py
@@ -1,6 +1,6 @@
 #
-# author: Jungtaek Kim (jtkim@postech.ac.kr)
-# last updated: February 8, 2021
+# author: Jungtaek Kim (jungtaek.kim.mail@gmail.com)
+# last updated: August 4, 2023
 #
 
 import numpy as np
@@ -29,10 +29,10 @@ def __init__(self, seed=None):
         assert bounds.shape[1] == 2
 
         global_minimizers = np.array([
-            [0.0898, -0.7126],
-            [-0.0898, 0.7126],
+            [0.08984201, -0.7126564],
+            [-0.08984201, 0.7126564],
         ])
-        global_minimum = -1.0316
+        global_minimum = -1.0316284535
         function = lambda bx: fun_target(bx, dim_bx)
 
         super().__init__(dim_bx, bounds, global_minimizers, global_minimum, function, seed=seed)