Fixed bulletpoints

ljvmiranda921 · Jul 30, 2017 · bbd4dc5 · bbd4dc5
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diff --git a/docs/features.rst b/docs/features.rst
@@ -15,6 +15,7 @@ and is optimized given a single objective function.
 
 * :mod:`pyswarms.single.gb` - global-best Particle Swarm Optimization algorithm with a star-topology. Every
 particle compares itself with the best-performing particle in the swarm.
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 * :mod:`pyswarms.single.lb` - local-best Particle Swarm Optimization algorithm with a ring-topology. Every
 particle compares itself only with its nearest-neighbours as computed by a distance metric.
 

diff --git a/docs/index.rst b/docs/index.rst
@@ -25,9 +25,11 @@ Launching pad
 
 * If you want to use PySwarms in your project, check the `Installation guide <https://pyswarms.readthedocs.io/en/latest/installation.html>`_
 and the `use-case examples <https://pyswarms.readthedocs.io/en/latest/examples/usecases.html>`_ in this documentation.
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 * If you are a researcher in the field of swarm intelligence, and would like to include your technique in our list of optimizers, check our
 `contributing <https://pyswarms.readthedocs.io/en/latest/contributing.html>`_ page to see how to implement your optimizer using the current base
 classes in the library.
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 * If you are an open-source contributor, and would like to help PySwarms grow, be sure to check our `Issues <https://github.com/ljvmiranda921/pyswarms/issues>`_ page in Github, and see the open
 issues with the tag `help-wanted <https://github.com/ljvmiranda921/pyswarms/labels/help%20wanted>`_. Moreover, we accommodate contributions from first-time contributors! Just check our
 `first-timers-only <https://github.com/ljvmiranda921/pyswarms/labels/first-timers-only>`_ tag for open issues (Don't worry! We're happy to help you make your first PR!).