diff --git a/src/selection.jl b/src/selection.jl
index d42f638..7f93015 100644
--- a/src/selection.jl
+++ b/src/selection.jl
@@ -57,7 +57,7 @@ There are 7 optimizers available:
 ```
 """
 function select_optimizers(
-  nlp::AbstractNLPModel{T, S},
+  nlp::AbstractNLPModel{T, S};
   verbose = 1,
   highest_derivative_available::Integer = 2,
 ) where {T, S}
@@ -151,9 +151,9 @@ function select_optimizers(
   return select
 end
 
-function select_optimizers(model::JuMP.Model, args...; kwargs...)
+function select_optimizers(model::JuMP.Model; kwargs...)
   nlp = MathOptNLPModel(model)
-  return select_optimizers(nlp, args...; kwargs...)
+  return select_optimizers(nlp; kwargs...)
 end
 
 """Checker whether optimizers are Generic only"""
diff --git a/src/solve.jl b/src/solve.jl
index 818a9da..4235dd3 100644
--- a/src/solve.jl
+++ b/src/solve.jl
@@ -4,7 +4,11 @@ function minimize(
   highest_derivative_available::Integer = 2,
   kwargs...,
 )
-  select = select_optimizers(nlp, verbose, highest_derivative_available)
+  select = select_optimizers(
+    nlp;
+    verbose = verbose,
+    highest_derivative_available = highest_derivative_available,
+  )
   (verbose ≥ 1) && println("Solve using $(first(select).name):")
   solver = first(select)
   return minimize(Val(Symbol(solver.name)), nlp; verbose = verbose, kwargs...)
@@ -16,7 +20,11 @@ function minimize(
   highest_derivative_available::Integer = 2,
   kwargs...,
 )
-  select = select_optimizers(nlp, verbose, highest_derivative_available)
+  select = select_optimizers(
+    nlp;
+    verbose = verbose,
+    highest_derivative_available = highest_derivative_available,
+  )
   nls_select = select[select.specialized_nls, :]
   solver = if !isempty(nls_select)
     first(nls_select)