Update release 3.0.0 notes

Author: ahmedfgad

docs/source/Footer.rst

@@ -1198,84 +1198,74 @@ PyGAD 3.0.0
 
 Release Date 8 April 2023
 
-1. The structure of the library is changed and some methods defined in
-   the ``pygad.py`` module are moved to the ``pygad.utils``,
-   ``pygad.helper``, and ``pygad.visualize`` submodules.
+1.  The structure of the library is changed and some methods defined in
+    the ``pygad.py`` module are moved to the ``pygad.utils``,
+    ``pygad.helper``, and ``pygad.visualize`` submodules.
 
-2. The ``pygad.utils.parent_selection`` module has a class named
-   ``ParentSelection`` where all the parent selection operators exist.
-   The ``pygad.GA`` class extends this class.
+2.  The ``pygad.utils.parent_selection`` module has a class named
+    ``ParentSelection`` where all the parent selection operators exist.
+    The ``pygad.GA`` class extends this class.
 
-3. The ``pygad.utils.crossover`` module has a class named ``Crossover``
-   where all the crossover operators exist. The ``pygad.GA`` class
-   extends this class.
+3.  The ``pygad.utils.crossover`` module has a class named ``Crossover``
+    where all the crossover operators exist. The ``pygad.GA`` class
+    extends this class.
 
-4. The ``pygad.utils.mutation`` module has a class named ``Mutation``
-   where all the mutation operators exist. The ``pygad.GA`` class
-   extends this class.
+4.  The ``pygad.utils.mutation`` module has a class named ``Mutation``
+    where all the mutation operators exist. The ``pygad.GA`` class
+    extends this class.
 
-5. The ``pygad.helper.unique`` module has a class named ``Unique`` some
-   helper methods exist to solve duplicate genes and make sure every
-   gene is unique. The ``pygad.GA`` class extends this class.
+5.  The ``pygad.helper.unique`` module has a class named ``Unique`` some
+    helper methods exist to solve duplicate genes and make sure every
+    gene is unique. The ``pygad.GA`` class extends this class.
 
-6. The ``pygad.visualize.plot`` module has a class named ``Plot`` where
-   all the methods that create plots exist. The ``pygad.GA`` class
-   extends this class.
+6.  The ``pygad.visualize.plot`` module has a class named ``Plot`` where
+    all the methods that create plots exist. The ``pygad.GA`` class
+    extends this class.
 
-.. code:: python
-
-   ...
-   class GA(utils.parent_selection.ParentSelection, 
-            utils.crossover.Crossover, 
-            utils.mutation.Mutation, 
-            helper.unique.Unique,
-            visualize.plot.Plot):
-   ...
-
-1.  Support of using the ``logging`` module to log the outputs to both
+7.  Support of using the ``logging`` module to log the outputs to both
     the console and text file instead of using the ``print()`` function.
     This is by assigning the ``logging.Logger`` to the new ``logger``
     parameter. Check the `Logging
     Outputs <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#logging-outputs>`__
     for more information.
 
-2.  A new instance attribute called ``logger`` to save the logger.
+8.  A new instance attribute called ``logger`` to save the logger.
 
-3.  The function/method passed to the ``fitness_func`` parameter accepts
+9.  The function/method passed to the ``fitness_func`` parameter accepts
     a new parameter that refers to the instance of the ``pygad.GA``
     class. Check this for an example: `Use Functions and Methods to
     Build Fitness Function and
     Callbacks <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#use-functions-and-methods-to-build-fitness-and-callbacks>`__.
     https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/163
 
-4.  Update the documentation to include an example of using functions
+10. Update the documentation to include an example of using functions
     and methods to calculate the fitness and build callbacks. Check this
     for more details: `Use Functions and Methods to Build Fitness
     Function and
     Callbacks <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#use-functions-and-methods-to-build-fitness-and-callbacks>`__.
     https://github.com/ahmedfgad/GeneticAlgorithmPython/pull/92#issuecomment-1443635003
 
-5.  Validate the value passed to the ``initial_population`` parameter.
+11. Validate the value passed to the ``initial_population`` parameter.
 
-6.  Validate the type and length of the ``pop_fitness`` parameter of the
+12. Validate the type and length of the ``pop_fitness`` parameter of the
     ``best_solution()`` method.
 
-7.  Some edits in the documentation.
+13. Some edits in the documentation.
     https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/106
 
-8.  Fix an issue when building the initial population as (some) genes
+14. Fix an issue when building the initial population as (some) genes
     have their value taken from the mutation range (defined by the
     parameters ``random_mutation_min_val`` and
     ``random_mutation_max_val``) instead of using the parameters
     ``init_range_low`` and ``init_range_high``.
 
-9.  The ``summary()`` method returns the summary as a single-line
+15. The ``summary()`` method returns the summary as a single-line
     string. Just log/print the returned string it to see it properly.
 
-10. The ``callback_generation`` parameter is removed. Use the
+16. The ``callback_generation`` parameter is removed. Use the
     ``on_generation`` parameter instead.
 
-11. There was an issue when using the ``parallel_processing`` parameter
+17. There was an issue when using the ``parallel_processing`` parameter
     with Keras and PyTorch. As Keras/PyTorch are not thread-safe, the
     ``predict()`` method gives incorrect and weird results when more
     than 1 thread is used.
@@ -1285,7 +1275,7 @@ Release Date 8 April 2023
     `StackOverflow
     answer <https://stackoverflow.com/a/75606666/5426539>`__.
 
-12. Replace ``numpy.float`` by ``float`` in the 2 parent selection
+18. Replace ``numpy.float`` by ``float`` in the 2 parent selection
     operators roulette wheel and stochastic universal.
     https://github.com/ahmedfgad/GeneticAlgorithmPython/pull/168