diff --git a/test/algorithms/Dichotomy.jl b/test/algorithms/Dichotomy.jl
index a77bea7..9d4d41f 100644
--- a/test/algorithms/Dichotomy.jl
+++ b/test/algorithms/Dichotomy.jl
@@ -404,7 +404,7 @@ function test_vector_of_variables_objective()
     MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
     MOI.add_constraint(model, sum(1.0 * xi for xi in x), MOI.GreaterThan(1.0))
     MOI.optimize!(model)
-    MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
+    @test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
     return
 end
 
diff --git a/test/algorithms/DominguezRios.jl b/test/algorithms/DominguezRios.jl
index 067a060..f79efed 100644
--- a/test/algorithms/DominguezRios.jl
+++ b/test/algorithms/DominguezRios.jl
@@ -638,6 +638,15 @@ function test_issue_105()
     MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
     MOI.optimize!(model)
     @test MOI.get(model, MOI.ResultCount()) == 6
+    y = [MOI.get(model, MOI.ObjectiveValue(i)) for i in 1:6]
+    @test sort!(y) == [
+        [2380.0, 81.0, 18.0],
+        [2440.0, 78.0, 18.0],
+        [2500.0, 75.0, 18.0],
+        [2560.0, 72.0, 18.0],
+        [2620.0, 69.0, 18.0],
+        [2680.0, 66.0, 18.0],
+    ]
     return
 end
 
diff --git a/test/algorithms/EpsilonConstraint.jl b/test/algorithms/EpsilonConstraint.jl
index 86f550c..b733c37 100644
--- a/test/algorithms/EpsilonConstraint.jl
+++ b/test/algorithms/EpsilonConstraint.jl
@@ -470,7 +470,7 @@ function test_vector_of_variables_objective()
     MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
     MOI.add_constraint(model, sum(1.0 * xi for xi in x), MOI.GreaterThan(1.0))
     MOI.optimize!(model)
-    MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
+    @test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
     return
 end
 
diff --git a/test/algorithms/Hierarchical.jl b/test/algorithms/Hierarchical.jl
index c6d1279..ab71063 100644
--- a/test/algorithms/Hierarchical.jl
+++ b/test/algorithms/Hierarchical.jl
@@ -126,7 +126,7 @@ function test_vector_of_variables_objective()
     MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
     MOI.add_constraint(model, sum(1.0 * xi for xi in x), MOI.GreaterThan(1.0))
     MOI.optimize!(model)
-    MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
+    @test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
     return
 end
 
diff --git a/test/algorithms/KirlikSayin.jl b/test/algorithms/KirlikSayin.jl
index 904eb02..5242b4c 100644
--- a/test/algorithms/KirlikSayin.jl
+++ b/test/algorithms/KirlikSayin.jl
@@ -642,6 +642,15 @@ function test_issue_105()
     MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
     MOI.optimize!(model)
     @test MOI.get(model, MOI.ResultCount()) == 6
+    y = [MOI.get(model, MOI.ObjectiveValue(i)) for i in 1:6]
+    @test sort!(y) == [
+        [2380.0, 81.0, 18.0],
+        [2440.0, 78.0, 18.0],
+        [2500.0, 75.0, 18.0],
+        [2560.0, 72.0, 18.0],
+        [2620.0, 69.0, 18.0],
+        [2680.0, 66.0, 18.0],
+    ]
     return
 end
 
diff --git a/test/algorithms/Lexicographic.jl b/test/algorithms/Lexicographic.jl
index a9f8ed3..cf99f0a 100644
--- a/test/algorithms/Lexicographic.jl
+++ b/test/algorithms/Lexicographic.jl
@@ -165,7 +165,7 @@ function test_vector_of_variables_objective()
     MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
     MOI.add_constraint(model, sum(1.0 * xi for xi in x), MOI.GreaterThan(1.0))
     MOI.optimize!(model)
-    MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
+    @test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMAL
     return
 end
 
diff --git a/test/algorithms/TambyVanderpooten.jl b/test/algorithms/TambyVanderpooten.jl
index 33356ac..67b0a5e 100644
--- a/test/algorithms/TambyVanderpooten.jl
+++ b/test/algorithms/TambyVanderpooten.jl
@@ -659,6 +659,15 @@ function test_issue_105()
     MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
     MOI.optimize!(model)
     @test MOI.get(model, MOI.ResultCount()) == 6
+    y = [MOI.get(model, MOI.ObjectiveValue(i)) for i in 1:6]
+    @test sort!(y) == [
+        [2380.0, 81.0, 18.0],
+        [2440.0, 78.0, 18.0],
+        [2500.0, 75.0, 18.0],
+        [2560.0, 72.0, 18.0],
+        [2620.0, 69.0, 18.0],
+        [2680.0, 66.0, 18.0],
+    ]
     return
 end