PyGAD 2.19.2 Release

PyGAD 2.19.2 Release Notes
1. Fix an issue when paralell processing was used where the elitism solutions' fitness values are not re-used. #160 (comment)

Author: ahmedfgad

__init__.py

@@ -1,3 +1,3 @@
 from .pygad import * # Relative import.
 
-__version__ = "2.19.1"
+__version__ = "2.19.2"

pygad.py

@@ -1431,6 +1431,8 @@ def cal_pop_fitness(self):
                     elitism_idx = self.last_generation_elitism_indices[elitism_idx]
                     # Use the elitism's index to return its pre-calculated fitness value.
                     fitness = self.previous_generation_fitness[elitism_idx]
+
+                    pop_fitness[sol_idx] = fitness
                 # If the solutions are not saved (i.e. `save_solutions=False`), check if this solution is a parent from the previous generation and its fitness value is already calculated. If so, use the fitness value instead of calling the fitness function.
                 # We cannot use the `numpy.where()` function directly because it does not support the `axis` parameter. This is why the `numpy.all()` function is used to match the solutions on axis=1.
                 # elif (self.last_generation_parents is not None) and len(numpy.where(numpy.all(self.last_generation_parents == sol, axis=1))[0] > 0):

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(  
     name="pygad",  
-    version="2.19.1",  
+    version="2.19.2",  
     author="Ahmed Fawzy Gad",
     install_requires=["numpy", "matplotlib", "cloudpickle",],
     author_email="[email protected]",