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Commit c4b17f9

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docs: edit pygad.rst
minor adjustment on the grammar to better explain the context
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‎docs/source/pygad.rst

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@@ -1039,7 +1039,7 @@ Let's discuss how to do each of these steps.
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Preparing the ``fitness_func`` Parameter
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-----------------------------------------
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Even there are some steps in the genetic algorithm pipeline that can
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Even though some steps in the genetic algorithm pipeline can
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work the same regardless of the problem being solved, one critical step
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is the calculation of the fitness value. There is no unique way of
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calculating the fitness value and it changes from one problem to
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corresponding objective.
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Using a user-defined fitness function allows the user to freely use
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PyGAD to solve any problem by passing the appropriate fitness
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function/method. It is very important to understand the problem well for
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PyGAD solves any problem by passing the appropriate fitness
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function/method. It is very important to understand the problem well before
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creating it.
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Let's discuss an example:

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