Update

Author: odow

src/algorithms/TambyVanderpooten.jl

@@ -158,10 +158,9 @@ function minimize_multiobjective!(
             end
         end
         optimize_inner!(model)
-        if !_is_scalar_status_optimal(model)
+        status = MOI.get(model.inner, MOI.TerminationStatus())
+        if !_is_scalar_status_optimal(status)
             MOI.delete.(model, ε_constraints)
-            # If this fails, it likely means that the solver experienced a
-            # numerical error with this box. Just skip it.
             return status, nothing
         end
         y_k = MOI.get(model.inner, MOI.ObjectiveValue())
@@ -173,9 +172,8 @@ function minimize_multiobjective!(
             MOI.EqualTo(y_k),
         )
         optimize_inner!(model)
-        if !_is_scalar_status_optimal(model)
-            # If this fails, it likely means that the solver experienced a
-            # numerical error with this box. Just skip it.
+        status = MOI.get(model.inner, MOI.TerminationStatus())
+        if !_is_scalar_status_optimal(status)
             MOI.delete.(model, ε_constraints)
             MOI.delete(model, y_k_constraint)
             return status, nothing

test/algorithms/TambyVanderpooten.jl

@@ -170,8 +170,7 @@ function test_solve_failures()
             MOI.add_constraint(model, sum(1.0 .* x[:, j]), MOI.EqualTo(1.0))
         end
         MOI.optimize!(model)
-        @test MOI.get(model, MOI.TerminationStatus()) ==
-             (fail_after <= 3 ? MOI.NUMERICAL_ERROR : MOI.OPTIMAL)
+        @test MOI.get(model, MOI.TerminationStatus()) == MOI.NUMERICAL_ERROR
         @test MOI.get(model, MOI.ResultCount()) == 0
     end
     return