Ensure filter_nondominated is called for all algorithms

Author: odow

src/MultiObjectiveAlgorithms.jl

@@ -869,8 +869,8 @@ function _optimize!(model::Optimizer)
     status, solutions = optimize_multiobjective!(algorithm, model)
     model.termination_status = status
     if solutions !== nothing
-        model.solutions = solutions
-        _sort!(model.solutions, MOI.get(model, MOI.ObjectiveSense()))
+        sense = MOI.get(model, MOI.ObjectiveSense())
+        model.solutions = filter_nondominated(sense, solutions)
     end
     if !model.silent
         _print_footer(stdout, model)

src/algorithms/EpsilonConstraint.jl

@@ -133,5 +133,5 @@ function minimize_multiobjective!(
         bound = min(Y[1] - constant - ε, bound - ε)
     end
     MOI.delete(model, ci)
-    return status, filter_nondominated(MOI.MIN_SENSE, solutions)
+    return status, solutions
 end

src/algorithms/KirlikSayin.jl

@@ -194,5 +194,5 @@ function minimize_multiobjective!(algorithm::KirlikSayin, model::Optimizer)
         MOI.delete.(model, ε_constraints)
         MOI.delete(model, zₖ_constraint)
     end
-    return status, filter_nondominated(MOI.MIN_SENSE, solutions)
+    return status, solutions
 end

src/algorithms/Lexicographic.jl

@@ -110,8 +110,7 @@ function optimize_multiobjective!(algorithm::Lexicographic, model::Optimizer)
             break
         end
     end
-    sense = MOI.get(model.inner, MOI.ObjectiveSense())
-    return status, filter_nondominated(sense, solutions)
+    return status, solutions
 end
 
 function _solve_in_sequence(

src/algorithms/RandomWeighting.jl

@@ -81,5 +81,5 @@ function optimize_multiobjective!(algorithm::RandomWeighting, model::Optimizer)
         end
         solutions = filter_nondominated(sense, solutions)
     end
-    return MOI.OPTIMAL, filter_nondominated(sense, solutions)
+    return MOI.OPTIMAL, solutions
 end