diff --git a/test/test_population.jl b/test/test_population.jl
index ba3268eb..e36101f8 100644
--- a/test/test_population.jl
+++ b/test/test_population.jl
@@ -11,6 +11,29 @@ facts("Population") do
     @fact isnafitness(fitness(p1, 1), fs) --> true
     @fact isnafitness(fitness(p1, 4), fs) --> true
 
+    context("accessing individuals") do
+      @fact typeof(p1[1]) --> Vector{Float64}
+      @fact length(p1[1]) --> numdims(p1)
+      @fact isa(BlackBoxOptim.viewer(p1, 1), AbstractVector{Float64}) --> true
+      @fact length(BlackBoxOptim.viewer(p1, 1)) --> numdims(p1)
+      @fact typeof(p1[popsize(p1)]) --> Vector{Float64} # last solution vector
+      @fact_throws BoundsError p1[0]
+      @fact_throws BoundsError p1[popsize(p1)+1]
+      @fact_throws BoundsError BlackBoxOptim.viewer(p1, 0)
+      @fact_throws BoundsError BlackBoxOptim.viewer(p1, popsize(p1)+1)
+      rand_solution_idx = rand(2:(popsize(p1)-1))
+      @fact isa(p1[rand_solution_idx], Array{Float64, 1}) --> true # random solution vector
+    end
+
+    context("accessing individuals fitness") do
+      # and to access their fitness values:
+      @fact typeof(fitness(p1, 1)) --> Float64
+      @fact typeof(fitness(p1, popsize(p1))) --> Float64
+      rand_solution_idx = rand(2:(popsize(p1)-1))
+      @fact_throws BoundsError fitness(p1, 0)
+      @fact_throws BoundsError fitness(p1, popsize(p1)+1)
+    end
+
     context("candidates pool") do
       @fact BlackBoxOptim.candi_pool_size(p1) --> 0
       candi1 = BlackBoxOptim.acquire_candi(p1, 1)