Update docs

Author: thieu1995

docs/source/index.rst

@@ -2,7 +2,7 @@ Welcome to MEALPY's documentation!
 ==================================
 
 
-.. image:: https://img.shields.io/badge/release-2.5.3-yellow.svg
+.. image:: https://img.shields.io/badge/release-2.5.4-yellow.svg
    :target: https://github.com/thieu1995/mealpy/releases
 
 .. image:: https://img.shields.io/pypi/wheel/gensim.svg

docs/source/pages/general/introduction.rst

@@ -6,7 +6,7 @@ Introduction
 * MEALPY (MEta-heuristic ALgorithms in PYthon) is the largest Python module for the most cutting-edge nature-inspired meta-heuristic algorithms and is
 distributed under the GNU General Public License (GPL) V3 license.
 
-* Current version: 2.5.1, Total algorithms: 172 (102 original, 45 official variants, 25 developed variants)
+* Current version: 2.5.4, Total algorithms: 209 (129 original, 46 official variants, 34 developed variants)
 
 * Different versions of mealpy in term of passing hyper-parameters. So please careful check your version before using this library (Check `All releases`_)
 	* mealpy < 1.0.5
@@ -36,23 +36,19 @@ distributed under the GNU General Public License (GPL) V3 license.
 .. _Issues ticket: https://github.com/thieu1995/mealpy/issues
 
 
+* And please give us credits if you use this library, check some of my `previous paper`_. ::
 
-* And please give us some credits if you use this library, check some of my `previous paper`_.
+   @article{van2023mealpy,
+      title={MEALPY: An open-source library for latest meta-heuristic algorithms in Python},
+      author={Van Thieu, Nguyen and Mirjalili, Seyedali},
+      journal={Journal of Systems Architecture},
+      year={2023},
+      publisher={Elsevier},
+      doi={10.1016/j.sysarc.2023.102871}
+   }
 
 .. _previous paper: https://gist.github.com/thieu1995/2dcebc754bf0038d0c12b26ec9d591aa
 
-::
-
-	@software{nguyen_van_thieu_2022_6684223,
-	  author       = {Nguyen Van Thieu and Seyedali Mirjalili},
-	  title        = {{MEALPY: a Framework of The State-of-The-Art Meta-Heuristic Algorithms in Python}},
-	  month        = jun,
-	  year         = 2022,
-	  publisher    = {Zenodo},
-	  version      = {v2.5.0},
-	  doi          = {10.5281/zenodo.6684223},
-	  url          = {https://doi.org/10.5281/zenodo.6684223}
-	}
 
 ------------
 Optimization

docs/source/pages/general/simple_guide.rst

@@ -4,7 +4,7 @@ Simple Guide
 
 In this phase, the main task is to find out the global optimal - in this project, we call it named *model* for simple. We designed the classical as well as
 the state-of-the-art population-based meta-heuristics models: `Evolutionary-based`_, `Swarm-based`_, `Physics-based`_, `Human-based`_, `Biology-based`_,
-`Mathematical-based`_, `Musical-based`_
+`Mathematical-based`_, `Musical-based`_, and `System-based`_
 
 .. _Evolutionary-based: ../models/mealpy.evolutionary_based.html
 .. _Swarm-based: ../models/mealpy.swarm_based.html
@@ -13,6 +13,7 @@ the state-of-the-art population-based meta-heuristics models: `Evolutionary-base
 .. _Biology-based: ../models/mealpy.bio_based.html
 .. _Mathematical-based: ../models/mealpy.math_based.html
 .. _Musical-based: ../models/mealpy.music_based.html
+.. _System-based: ../models/mealpy.system_based.html
 
 All of this methods are used in the same way. So, in this guide, we'll demo with a specific method such as **Genetic Algorithm** in *Evolutionary-based*.
 
@@ -25,7 +26,7 @@ Installation
 
 Install the `current PyPI release`_. ::
 
-   $ pip install mealpy==2.5.3
+   $ pip install mealpy==2.5.4
 
 .. _current PyPI release: https://pypi.python.org/pypi/mealpy
 

docs/source/pages/support.rst

@@ -42,7 +42,7 @@ Official Links
 * Examples with different meapy version: https://github.com/thieu1995/mealpy/blob/master/EXAMPLES.md
 * Official chat/support group: https://t.me/+fRVCJGuGJg1mNDg1
 
-* This project also related to our another projects which are "meta-heuristics" and "neural-network", check it here
+* This project also related to our another projects which are "meta-heuristics" and "machine learning", check it here:
    * https://github.com/thieu1995/opfunu
    * https://github.com/thieu1995/metaheuristics
    * https://github.com/thieu1995/enoppy