Remove n_vars in examples

thieu1995 · Mar 24, 2024 · 6dacfb6 · 6dacfb6
1 parent 03c6312
commit 6dacfb6
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Showing 4 changed files with 4 additions and 4 deletions.
diff --git a/examples/utils/visualize/convergence_chart.py b/examples/utils/visualize/convergence_chart.py
@@ -21,7 +21,7 @@ def fitness_function(solution):
 
 problem = {
     "fit_func": fitness_function,
-    "bounds": FloatVar(n_vars=8, lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
+    "bounds": FloatVar(lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
     "minmax": "min",
     "obj_weights": [0.2, 0.5, 0.3]
 }

diff --git a/examples/utils/visualize/exploration_exploitation_chart.py b/examples/utils/visualize/exploration_exploitation_chart.py
@@ -21,7 +21,7 @@ def fitness_function(solution):
 
 problem = {
     "fit_func": fitness_function,
-    "bounds": FloatVar(n_vars=8, lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
+    "bounds": FloatVar(lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
     "minmax": "min",
     "obj_weights": [0.2, 0.5, 0.3]
 }

diff --git a/examples/utils/visualize/objectives_chart.py b/examples/utils/visualize/objectives_chart.py
@@ -20,7 +20,7 @@ def fitness_function(solution):
 
 problem = {
     "fit_func": fitness_function,
-    "bounds": FloatVar(n_vars=8, lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
+    "bounds": FloatVar(lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
     "minmax": "min",
     "obj_weights": [0.2, 0.5, 0.3]
 }

diff --git a/examples/utils/visualize/trajectory_chart.py b/examples/utils/visualize/trajectory_chart.py
@@ -20,7 +20,7 @@ def fitness_function(solution):
 
 problem = {
     "fit_func": fitness_function,
-    "bounds": FloatVar(n_vars=8, lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
+    "bounds": FloatVar(lb=[-10, -5, -15, -20, -10, -15, -10, -30], ub=[10, 5, 15, 20, 50, 30, 100, 85]),
     "minmax": "min",
     "obj_weights": [0.2, 0.5, 0.3],
     "save_population": True