Update file pyproject.toml

jMetal · Sep 2, 2024 · ef6f05a · ef6f05a
1 parent 10cfb5d
commit ef6f05a
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Showing 3 changed files with 9 additions and 6 deletions.
diff --git a/examples/multiobjective/nsgaii/nsgaii_solving_mixed_encoding_problem.py b/examples/multiobjective/nsgaii/nsgaii_solving_mixed_encoding_problem.py
@@ -4,6 +4,7 @@
 from jmetal.operator.mutation import CompositeMutation
 from jmetal.operator.mutation import IntegerPolynomialMutation, PolynomialMutation
 from jmetal.problem.multiobjective.unconstrained import MixedIntegerFloatProblem
+from jmetal.util.observer import VisualizerObserver
 from jmetal.util.solution import (
     get_non_dominated_solutions,
     print_function_values_to_file,
@@ -12,7 +13,7 @@
 from jmetal.util.termination_criterion import StoppingByEvaluations
 
 if __name__ == "__main__":
-    problem = MixedIntegerFloatProblem(10, 10, 100, -100, -1000, 1000)
+    problem = MixedIntegerFloatProblem(60, 20, 100, -100, -1000, 1000)
 
     max_evaluations = 25000
     algorithm = NSGAII(
@@ -29,6 +30,8 @@
         termination_criterion=StoppingByEvaluations(max_evaluations=max_evaluations),
     )
 
+    algorithm.observable.register(observer=VisualizerObserver())
+
     algorithm.run()
     front = get_non_dominated_solutions(algorithm.result())
 

diff --git a/examples/multiobjective/nsgaii/nsgaii_standard_settings_with_real_time_plotting.py b/examples/multiobjective/nsgaii/nsgaii_standard_settings_with_real_time_plotting.py
@@ -17,7 +17,7 @@
 
 if __name__ == "__main__":
     problem = ZDT1()
-    problem.reference_front = read_solutions(filename="resources/reference_front/ZDT1.pf")
+    reference_front = read_solutions(filename="resources/reference_front/ZDT1.pf")
 
     max_evaluations = 10000
     algorithm = NSGAII(
@@ -30,7 +30,7 @@
     )
 
     algorithm.observable.register(observer=ProgressBarObserver(max=max_evaluations))
-    algorithm.observable.register(observer=VisualizerObserver(reference_front=problem.reference_front))
+    algorithm.observable.register(observer=VisualizerObserver(reference_front=reference_front))
 
     algorithm.run()
     front = algorithm.result()
@@ -46,7 +46,7 @@
     # Plot interactive front
     plot_front = InteractivePlot(
         title="Pareto front approximation. Problem: " + problem.name(),
-        reference_front=problem.reference_front,
+        reference_front=reference_front,
         axis_labels=problem.obj_labels,
     )
     plot_front.plot(front, label=algorithm.label, filename=algorithm.get_name())

diff --git a/pyproject.toml b/pyproject.toml
@@ -84,8 +84,8 @@ distributed = [
 
 complete = [
     "tqdm",
-    "numpy>=1.16.0",
-    "pandas>=0.24.2",
+    "numpy>=2.0.0",
+    "pandas>=2.2.0",
     "plotly>=3.3.0",
     "matplotlib>=3.0.2",
     "scipy>=1.3.0",