Criterios de comparación por rasgos y función de similitud

In this research we found that the tightness of the constraints of the stochastic optimization model determine if the stochastic and deterministic model result in a different solution. However, we studied a limited number of situations so we cannot generalize this statement. It can be interesting to study if this statement can be generalized, and if so in which situations. In literature we have not found research that states when stochastic optimization is worthwhile considering a MILP model and random parameters. The statement that can be used in such a research is: “stochastic programming does not

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