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Merged
merged 2 commits into from
Jun 10, 2025
Merged

Add more tests to DominguezRios #109

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be275e3
Add more tests to DominguezRios
odow Jun 10, 2025
98e1dc7
Fix format
odow Jun 10, 2025
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39 changes: 38 additions & 1 deletion test/algorithms/DominguezRios.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -600,7 +600,44 @@ 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

function test_issue_105()
cost = [100.0, 120.0, 150.0, 110.0, 200.0, 170.0]
time = [8.0, 3.0, 4.0, 2.0, 5.0, 4.0]
capacity = [10.0, 8.0]
demand = [5.0, 8.0, 5.0]
m, n = 2, 3
model = MOI.instantiate(; with_bridge_type = Float64) do
return MOA.Optimizer(HiGHS.Optimizer)
end
MOI.set(model, MOA.Algorithm(), MOA.DominguezRios())
MOI.set(model, MOI.Silent(), true)
x = MOI.add_variables(model, m * n)
MOI.add_constraint.(model, x, MOI.GreaterThan(0.0))
MOI.add_constraint.(model, x, MOI.Integer())
X = reshape(x, m, n)
for i in 1:m
f_i = MOI.ScalarAffineFunction(MOI.ScalarAffineTerm.(1.0, X[i, :]), 0.0)
MOI.add_constraint(model, f_i, MOI.LessThan(capacity[i]))
end
for j in 1:n
f_j = MOI.ScalarAffineFunction(MOI.ScalarAffineTerm.(1.0, X[:, j]), 0.0)
MOI.add_constraint(model, f_j, MOI.EqualTo(demand[j]))
end
f = MOI.Utilities.operate(
vcat,
Float64,
MOI.ScalarAffineFunction(MOI.ScalarAffineTerm.(cost, x), 0.0),
MOI.ScalarAffineFunction(MOI.ScalarAffineTerm.(time, x), 0.0),
MOI.ScalarAffineFunction(MOI.ScalarAffineTerm.(1.0, x), 0.0),
)
MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
MOI.optimize!(model)
@test MOI.get(model, MOI.ResultCount()) == 6
return
end

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