Add example for PSO showing how to set max_iterations

examples/example_pso.py

@@ -0,0 +1,16 @@
+from platypus import OMOPSO, DTLZ2
+
+# define the problem
+problem = DTLZ2()
+
+# OMOPSO and SMPSO use a non-uniform mutation operator that scales down the magnitude of the mutations
+# as the run progresses. Setting max_iterations controls how quickly the non-uniform mutation scales.
+swarm_size = 100
+max_iterations = 500
+
+algorithm = OMOPSO(problem, epsilons = [0.01], swarm_size = swarm_size, max_iterations = max_iterations)
+algorithm.run(swarm_size * max_iterations)
+
+# display the results
+for solution in algorithm.result:
+    print(solution.objectives)

platypus/__init__.py

@@ -28,4 +28,4 @@
 from .types import *
 from .weights import *
 
-__version__ = "1.1.0" # Update setup.py if the version changes!
+__version__ = "1.1.0"