Submitted arrays of different types in JuMP Heuristic Callbacks

Specific Domains Optimization (Mathematical)
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2

Even though the variable are Bin, you need to pass the Float64 values 0.0 or 1.0. The solver doesn’t use true and false internally.

I don’t have your full code, so I couldn’t test to check this works, but you probably want something like:

function call_back_benders_heuristic(cb_data)
    vars_x = JuMP.VariableRef[]
    solution_x = Bool[]
    for i in V
        for j in i+1:n
            push!(vars_x, x[i,j])
            push!(solution_x, x_improve_two_opt[i,j])
        end
    end
    status = MOI.submit(
        m, 
        MOI.HeuristicSolution(cb_data), 
        vcat(vars_x, y, offset, λ),
        vcat(
            convert(Vector{Float64}, solution_x),
            convert(Vector{Float64}, y_improve_two_opt),
            bar_offset_improve_two_opt,
            λ_improve_two_opt,
        )
    println("Submitted a heuristic solution with status $status")
end
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