ParallelEvaluator: multi-objective tests

Author: alyst

test/test_evaluator.jl

@@ -79,6 +79,24 @@ end
         using Distributed
 
         evaluator_tests(() -> BlackBoxOptim.ParallelEvaluator(p, pids=workers()))
+
+        @testset "multi-objective problem" begin
+            schaffer1(x) = (sum(abs2, x), sum(xx -> abs2(xx - 2.0), x))
+            p = BlackBoxOptim.FunctionBasedProblem(schaffer1, "Schaffer1", ParetoFitnessScheme{2}(is_minimizing=true),
+                                                   symmetric_search_space(5, (-10.0, 10.0)))
+            a = EpsBoxArchive(EpsBoxDominanceFitnessScheme(fitness_scheme(p)), max_size=100)
+
+            e = BlackBoxOptim.ParallelEvaluator(p, a, pids=workers())
+            fit1 = fitness([0.0, 1.0, 2.0, 3.0, 4.0], e)
+            @test BlackBoxOptim.num_evals(e) == 1
+            @test BlackBoxOptim.last_fitness(e) == fit1.orig
+
+            fit2 = fitness([0.0, -1.0, -2.0, -3.0, -4.0], e)
+            @test BlackBoxOptim.num_evals(e) == 2
+            @test BlackBoxOptim.last_fitness(e) == fit2.orig
+
+            BlackBoxOptim.shutdown!(e)
+        end
     end
 
 end