Efficient approach to modifying existing JuMP constraints

Specific Domains Optimization (Mathematical)
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7

What version of Gurobi.jl do you have installed? Try updating to the latest version, we recently fixed a performance issue that is probably causing this.

I would probably do something like this:

    # @expression(model, W[a in sets[:A], n in sets[:E]], sum(Y[a, n, br] for br in sets[:F][var_1]))
    @variable(model, W[a in sets[:A], n in sets[:E]])
    @constraint(
        model, 
        [a in sets[:A], n in sets[:E]],
        W[a, n] == sum(Y[a, n, br] for br in sets[:F][var_1]),
    )
    @constraint(
        model, 
        U[a in sets[:A], b in var_6, t in sets[:D]],
        sum(Z[a, i, j, b, t] for i in sets[:B][var_1], j in sets[:C][i] if b in sets[:G][j]) == 0,
    )
    calculated_parameter = 0.5
    for a in sets[:A], t in sets[:D]
        set_normalized_coefficient(model[:U][a, 1, t], W[a, :a], -calculated_parameter)
    end

where you introduce a new variable to represent the expression, and then you modify the coefficient of that variable in the relevant constraints.