Merge pull request #265 from lucijabrezocnik/master

reference added, small fixes

README.md

@@ -26,7 +26,7 @@
 [![DOI](http://joss.theoj.org/papers/10.21105/joss.00613/status.svg)](https://doi.org/10.21105/joss.00613)
 
 
-Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of [nature-inspired algorithms have been developed](https://arxiv.org/abs/1307.4186) since the beginning of their era. To prove their versatility, those were tested in various domains on various applications, especially when they are hybridized, modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex and tedious task. In order to break this wall, NiaPy is intended for simple and quick use, without spending time for implementing algorithms from scratch.
+Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been developed ([paper 1](https://arxiv.org/abs/1307.4186), [paper 2](https://www.mdpi.com/2076-3417/8/9/1521)) since the beginning of their era. To prove their versatility, those were tested in various domains on various applications, especially when they are hybridized, modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex and tedious task. In order to break this wall, NiaPy is intended for simple and quick use, without spending time for implementing algorithms from scratch.
 
 * **Free software:** MIT license
 * **Documentation:** https://niapy.readthedocs.io/en/stable/

docs/source/api/index.rst

@@ -1,5 +1,5 @@
-API
-===
+API Documentation
+=================
 
 This is the NiaPy API documentation, auto generated from the source code.
 

docs/source/features.rst

@@ -64,8 +64,8 @@ NiaPy features more than 30 benchmark functions. Documentation for them can be f
 
 - Ackley
 - Alpine
-  - Alpine1
-  - Alpine2
+    - Alpine1
+    - Alpine2
 - Bent Cigar
 - Chung Reynolds
 - Csendes
@@ -89,14 +89,14 @@ NiaPy features more than 30 benchmark functions. Documentation for them can be f
 - Salomon
 - Schumer Steiglitz
 - Schwefel
-  - Schwefel 2.21
-  - Schwefel 2.22
+    - Schwefel 2.21
+    - Schwefel 2.22
 - Sphere
-  - Sphere2 -> Sphere with different powers
-  - Sphere3 -> Rotated hyper-ellipsoid
+    - Sphere2 -> Sphere with different powers
+    - Sphere3 -> Rotated hyper-ellipsoid
 - Step
-  - Step2
-  - Step3
+    - Step2
+    - Step3
 - Stepint
 - Styblinski-Tang
 - Sum Squares

docs/source/index.rst

@@ -11,15 +11,20 @@
 NiaPy's documentation
 =================================
 
+.. image:: http://joss.theoj.org/papers/10.21105/joss.00613/status.svg
+        :target: https://doi.org/10.21105/joss.00613
+        :alt: Citation
+
 .. automodule:: NiaPy
 
 Nature-inspired algorithms are a very popular tool for solving optimization problems.
-Since the beginning of their era, numerous variants of `nature-inspired algorithms were
-developed <https://arxiv.org/abs/1307.4186>`_. To prove their versatility, those were
-tested in various domains on various applications, especially when they are hybridized,
-modified or adapted. However, implementation of nature-inspired algorithms is sometimes
-difficult, complex and tedious task. In order to break this wall, NiaPy is intended for
-simple and quick use, without spending a time for implementing algorithms from scratch.
+Since the beginning of their era, numerous variants of nature-inspired algorithms were
+developed (`paper 1 <https://arxiv.org/abs/1307.4186>`_, `paper 2 <https://www.mdpi.com/2076-3417/8/9/1521>`_).
+To prove their versatility, those were tested in various domains on various applications,
+especially when they are hybridized, modified or adapted. However, implementation of
+nature-inspired algorithms is sometimes difficult, complex and tedious task. In order to break
+this wall, NiaPy is intended for simple and quick use, without spending a time for
+implementing algorithms from scratch.
 
 * **Free software:** MIT license
 * **Github repository:** https://github.com/NiaOrg/NiaPy
@@ -68,7 +73,6 @@ The main documentation is organized into a couple sections:
 .. _api-docs:
 
 .. toctree::
-  :maxdepth: 3
   :caption: API Documentation
 
   api/index