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Author: ahmedfgad

docs/source/Footer.rst

@@ -302,6 +302,24 @@ is applied based on this parameter.
 
 .. _header-n115:
 
+PyGAD 2.6.0 
+------------
+
+Release Date: 6 August 2020
+
+1. A bug fix in assigning the value to the ``initial_population``
+   parameter.
+
+2. A new parameter named ``gene_type`` is added to control the gene
+   type. It can be either ``int`` or ``float``. It has an effect only
+   when the parameter ``gene_space`` is ``None``.
+
+3. 7 new parameters that accept callback functions: ``on_start``,
+   ``on_fitness``, ``on_parents``, ``on_crossover``, ``on_mutation``,
+   ``on_generation``, and ``on_stop``.
+
+.. _header-n124:
+
 PyGAD Projects at GitHub
 ========================
 
@@ -310,7 +328,7 @@ https://pypi.org/project/pygad. PyGAD is built out of a number of
 open-source GitHub projects. A brief note about these projects is given
 in the next subsections.
 
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+.. _header-n126:
 
 `GeneticAlgorithmPython <https://github.com/ahmedfgad/GeneticAlgorithmPython>`__
 --------------------------------------------------------------------------------
@@ -321,7 +339,7 @@ GitHub Link: https://github.com/ahmedfgad/GeneticAlgorithmPython
 is the first project which is an open-source Python 3 project for
 implementing the genetic algorithm based on NumPy.
 
-.. _header-n120:
+.. _header-n129:
 
 `NumPyANN <https://github.com/ahmedfgad/NumPyANN>`__
 ----------------------------------------------------
@@ -335,7 +353,7 @@ neural network without using a training algorithm. Currently, it only
 supports classification and later regression will be also supported.
 Moreover, only one class is supported per sample.
 
-.. _header-n123:
+.. _header-n132:
 
 `NeuralGenetic <https://github.com/ahmedfgad/NeuralGenetic>`__
 --------------------------------------------------------------
@@ -348,7 +366,7 @@ projects
 `GeneticAlgorithmPython <https://github.com/ahmedfgad/GeneticAlgorithmPython>`__
 and `NumPyANN <https://github.com/ahmedfgad/NumPyANN>`__.
 
-.. _header-n126:
+.. _header-n135:
 
 `NumPyCNN <https://github.com/ahmedfgad/NumPyCNN>`__
 ----------------------------------------------------
@@ -360,7 +378,7 @@ convolutional neural networks using NumPy. The purpose of this project
 is to only implement the **forward pass** of a convolutional neural
 network without using a training algorithm.
 
-.. _header-n129:
+.. _header-n138:
 
 `CNNGenetic <https://github.com/ahmedfgad/CNNGenetic>`__
 --------------------------------------------------------
@@ -372,7 +390,7 @@ convolutional neural networks using the genetic algorithm. It uses the
 `GeneticAlgorithmPython <https://github.com/ahmedfgad/GeneticAlgorithmPython>`__
 project for building the genetic algorithm.
 
-.. _header-n132:
+.. _header-n141:
 
 Submitting Issues
 =================
@@ -389,7 +407,7 @@ is not working properly or to ask for questions.
 If this is not a proper option for you, then check the **Contact Us**
 section for more contact details.
 
-.. _header-n136:
+.. _header-n145:
 
 Ask for Feature
 ===============
@@ -406,7 +424,7 @@ to ahmed.f.gad@gmail.com.
 
 Also check the **Contact Us** section for more contact details.
 
-.. _header-n140:
+.. _header-n149:
 
 Projects Built using PyGAD
 ==========================
@@ -425,15 +443,15 @@ Within your message, please send the following details:
 
 -  Preferably, a link that directs the readers to your project
 
-.. _header-n151:
+.. _header-n160:
 
 For More Information
 ====================
 
 There are different resources that can be used to get started with the
 genetic algorithm and building it in Python.
 
-.. _header-n153:
+.. _header-n162:
 
 Tutorial: Implementing Genetic Algorithm in Python
 --------------------------------------------------
@@ -457,7 +475,7 @@ good resource to start with coding the genetic algorithm.
 
 |image0|
 
-.. _header-n164:
+.. _header-n173:
 
 Tutorial: Introduction to Genetic Algorithm
 -------------------------------------------
@@ -476,7 +494,7 @@ which is available at these links:
 
 |image1|
 
-.. _header-n174:
+.. _header-n183:
 
 Tutorial: Build Neural Networks in Python
 -----------------------------------------
@@ -496,7 +514,7 @@ available at these links:
 
 |image2|
 
-.. _header-n184:
+.. _header-n193:
 
 Tutorial: Optimize Neural Networks with Genetic Algorithm
 ---------------------------------------------------------
@@ -516,7 +534,7 @@ available at these links:
 
 |image3|
 
-.. _header-n194:
+.. _header-n203:
 
 Tutorial: Building CNN in Python
 --------------------------------
@@ -542,7 +560,7 @@ good resource to start with coding CNNs.
 
 |image4|
 
-.. _header-n207:
+.. _header-n216:
 
 Tutorial: Derivation of CNN from FCNN
 -------------------------------------
@@ -561,7 +579,7 @@ which is available at these links:
 
 |image5|
 
-.. _header-n217:
+.. _header-n226:
 
 Book: Practical Computer Vision Applications Using Deep Learning with CNNs
 --------------------------------------------------------------------------
@@ -587,7 +605,7 @@ Find the book at these links:
 .. figure:: https://user-images.githubusercontent.com/16560492/78830077-ae7c2800-79e7-11ea-980b-53b6bd879eeb.jpg
    :alt: 
 
-.. _header-n232:
+.. _header-n241:
 
 Contact Us
 ==========