I have an optimization model with uncertainty in objective function, ie
@objective(m, Min, My_QUANTITY[t] * PRICE[t] )
I suppose that the PRICE is uncertain.
How this model can be adapted to be used in JuMPChance package ?
I have an optimization model with uncertainty in objective function, ie
@objective(m, Min, My_QUANTITY[t] * PRICE[t] )
I suppose that the PRICE is uncertain.
How this model can be adapted to be used in JuMPChance package ?