Enable vOptLib tests for KirlikSayin and TambyVanderpooten

Author: odow

test/algorithms/DominguezRios.jl

@@ -12,6 +12,7 @@ import MultiObjectiveAlgorithms as MOA
 import MultiObjectiveAlgorithms: MOI
 
 include(joinpath(dirname(@__DIR__), "problems.jl"))
+include(joinpath(dirname(@__DIR__), "vOptLib.jl"))
 
 function run_tests()
     if Sys.WORD_SIZE == 32
@@ -35,6 +36,15 @@ function test_problems()
     return
 end
 
+function test_vOptLib_runtests()
+    model = MOA.Optimizer(HiGHS.Optimizer)
+    MOI.set(model, MOA.Algorithm(), MOA.DominguezRios())
+    MOI.set(model, MOI.Silent(), true)
+    # TODO(odow): it doesn't terminate
+    # vOptLib.run_tests(model)
+    return
+end
+
 function test_infeasible()
     model = MOA.Optimizer(HiGHS.Optimizer)
     MOI.set(model, MOA.Algorithm(), MOA.DominguezRios())

test/algorithms/KirlikSayin.jl

@@ -12,6 +12,7 @@ import MultiObjectiveAlgorithms as MOA
 import MultiObjectiveAlgorithms: MOI
 
 include(joinpath(dirname(@__DIR__), "problems.jl"))
+include(joinpath(dirname(@__DIR__), "vOptLib.jl"))
 
 function run_tests()
     for name in names(@__MODULE__; all = true)
@@ -32,6 +33,14 @@ function test_problems()
     return
 end
 
+function test_vOptLib_runtests()
+    model = MOA.Optimizer(HiGHS.Optimizer)
+    MOI.set(model, MOA.Algorithm(), MOA.KirlikSayin())
+    MOI.set(model, MOI.Silent(), true)
+    vOptLib.run_tests(model)
+    return
+end
+
 function test_infeasible()
     model = MOA.Optimizer(HiGHS.Optimizer)
     MOI.set(model, MOA.Algorithm(), MOA.KirlikSayin())

test/algorithms/TambyVanderpooten.jl

@@ -12,6 +12,7 @@ import MultiObjectiveAlgorithms as MOA
 import MultiObjectiveAlgorithms: MOI
 
 include(joinpath(dirname(@__DIR__), "problems.jl"))
+include(joinpath(dirname(@__DIR__), "vOptLib.jl"))
 
 function run_tests()
     for name in names(@__MODULE__; all = true)
@@ -32,6 +33,14 @@ function test_problems()
     return
 end
 
+function test_vOptLib_runtests()
+    model = MOA.Optimizer(HiGHS.Optimizer)
+    MOI.set(model, MOA.Algorithm(), MOA.TambyVanderpooten())
+    MOI.set(model, MOI.Silent(), true)
+    vOptLib.run_tests(model)
+    return
+end
+
 function test_infeasible()
     model = MOA.Optimizer(HiGHS.Optimizer)
     MOI.set(model, MOA.Algorithm(), MOA.TambyVanderpooten())