diff --git a/docs/src/mutation.md b/docs/src/mutation.md
index e1bdeae..273f917 100644
--- a/docs/src/mutation.md
+++ b/docs/src/mutation.md
@@ -29,15 +29,15 @@ gaussian(::AnisotropicStrategy)
 
 ## Genetic Algorithm
 
-List of the binary mutation operations:
-
+### Binary Mutations
 
 ```@docs
 flip
 bitinversion
 ```
 
-List of the real valued mutation operations:
+### Real-valued Mutations
+
 
 ```@docs
 uniform(::Real)
@@ -45,7 +45,9 @@ gaussian(::Real)
 domainrange
 ```
 
-List of the combinatorial mutation operations (applicable to binary vectors):
+### Combinatorial Mutations
+
+*Note: The combinatorial mutation operations are applicable to binary vectors.*
 
 ```@docs
 inversion
diff --git a/docs/src/selection.md b/docs/src/selection.md
index 111edc1..420aece 100644
--- a/docs/src/selection.md
+++ b/docs/src/selection.md
@@ -8,7 +8,7 @@ tournament selection, rank selection, steady state selection and some others.
 
 ## Selection Interface
 
-All selection algorithms have following call interface `selection(fintess, N)` where `fintess` is the vector of population fitness values, of size ``M``, and ``N`` is the number of selected individuals. The selection function returns a vector of integer indexes of selected individuals, of size ``N`` with indexes in range ``[1,M]``.
+All selection algorithms have following call interface `selection(fitness, N)` where `fitness` is the vector of population fitness values, of size ``M``, and ``N`` is the number of selected individuals. The selection function returns a vector of integer indexes of selected individuals, of size ``N`` with indexes in range ``[1,M]``.
 
 **Note:** Some of the selection algorithms implemented as function closures, in order to provide additional parameters to the specified above selection interface.