diff --git a/R/setupECRControl.R b/R/setupECRControl.R
index 62bf8ff..5b86737 100644
--- a/R/setupECRControl.R
+++ b/R/setupECRControl.R
@@ -1,10 +1,9 @@
-#' @title
-#'    Generates control object.
+#' @title Generates control object.
 #'
 #' @description
-#'   The ecr package offers a framework for evolutionary computing and therefore offers
-#'   a lot of customization options. The control object is a simple but powerful
-#'   wrapper for all these options and sets convenient default options.
+#' The ecr package offers a framework for evolutionary computing and therefore offers
+#' a lot of customization options. The control object is a simple but powerful
+#' wrapper for all these options and sets convenient default options.
 #'
 #' @param n.population [\code{integer(1)}]\cr
 #'   Number of individuals in the population.
@@ -37,6 +36,9 @@
 #'   deviation of the fitness. The function is called once in each generation.
 #'   The results are stored in the optimization path. Default is \code{NULL}, which
 #'   means that no additional stuff is logged.
+#' @param custom.constants [\code{list}]\cr
+#'   Additional constants which should be available to all generators and operators.
+#'   Defaults to empty list.
 #' @return
 #'   S3 object of type \code{ecr_control}.
 #' @export
@@ -51,7 +53,8 @@ setupECRControl = function(
   save.population.at = integer(0),
   monitor = makeConsoleMonitor(),
   stopping.conditions = list(),
-  extras.fun = NULL) {
+  extras.fun = NULL,
+  custom.constants = list()) {
   assertCount(n.population, positive = TRUE, na.ok = FALSE)
   assertCount(n.offspring, positive = TRUE, na.ok = FALSE)
   n.mating.pool = convertInteger(n.mating.pool)
@@ -60,6 +63,7 @@ setupECRControl = function(
   assertChoice(survival.strategy, choices = c("plus", "comma"))
   assertCount(n.elite, na.ok = FALSE)
   assertCharacter(target.name, len = 1L, any.missing = FALSE)
+  assertList(custom.constants, unique = TRUE, any.missing = FALSE, all.missing = FALSE)
 
   if (length(save.population.at) > 0) {
     assertIntegerish(save.population.at, lower = 0L, any.missing = FALSE)
@@ -108,6 +112,7 @@ setupECRControl = function(
     stopping.conditions = stopping.conditions,
     monitor = monitor,
     extras.fun = extras.fun,
+    custom.constants = custom.constants,
     classes = "ecr_control"
   )
 
diff --git a/man/setupECRControl.Rd b/man/setupECRControl.Rd
index 989d24b..bb8ea24 100644
--- a/man/setupECRControl.Rd
+++ b/man/setupECRControl.Rd
@@ -8,7 +8,8 @@ setupECRControl(n.population, n.offspring,
   n.mating.pool = floor(n.population/2), representation,
   survival.strategy = "plus", n.elite = 0L, target.name = "y",
   save.population.at = integer(0), monitor = makeConsoleMonitor(),
-  stopping.conditions = list(), extras.fun = NULL)
+  stopping.conditions = list(), extras.fun = NULL,
+  custom.constants = list())
 }
 \arguments{
 \item{n.population}{[\code{integer(1)}]\cr
@@ -52,13 +53,17 @@ computed based on the individual genomes or the fitness values, e.g., standard
 deviation of the fitness. The function is called once in each generation.
 The results are stored in the optimization path. Default is \code{NULL}, which
 means that no additional stuff is logged.}
+
+\item{custom.constants}{[\code{list}]\cr
+Additional constants which should be available to all generators and operators.
+Defaults to empty list.}
 }
 \value{
 S3 object of type \code{ecr_control}.
 }
 \description{
 The ecr package offers a framework for evolutionary computing and therefore offers
-  a lot of customization options. The control object is a simple but powerful
-  wrapper for all these options and sets convenient default options.
+a lot of customization options. The control object is a simple but powerful
+wrapper for all these options and sets convenient default options.
 }