@@ -119,7 +119,7 @@ The ``pygad.GA`` class constructor supports the following parameters:
119119 function can be passed starting from `PyGAD
120120 2.16.0 <https://pygad.readthedocs.io/en/latest/releases.html#pygad-2-16-0> `__.
121121 Check the `User-Defined Crossover, Mutation, and Parent Selection
122- Operators <https://pygad.readthedocs.io/en/latest/pygad_more .html#user-defined-crossover-mutation-and-parent-selection-operators> `__
122+ Operators <https://pygad.readthedocs.io/en/latest/utils .html#user-defined-crossover-mutation-and-parent-selection-operators> `__
123123 section for more details about building a user-defined parent
124124 selection function.
125125
@@ -1037,11 +1037,10 @@ Let's discuss how to do each of these steps.
10371037Preparing the ``fitness_func `` Parameter
10381038-----------------------------------------
10391039
1040- Even though some steps in the genetic algorithm pipeline can
1041- work the same regardless of the problem being solved, one critical step
1042- is the calculation of the fitness value. There is no unique way of
1043- calculating the fitness value and it changes from one problem to
1044- another.
1040+ Even though some steps in the genetic algorithm pipeline can work the
1041+ same regardless of the problem being solved, one critical step is the
1042+ calculation of the fitness value. There is no unique way of calculating
1043+ the fitness value and it changes from one problem to another.
10451044
10461045PyGAD has a parameter called ``fitness_func `` that allows the user to
10471046specify a custom function/method to use when calculating the fitness.
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