When auxiliary variables are used in an optimization model, they are used as the changing cells in Solver instead of the decision variables (red cells).
False. This statement is incorrect.
In an optimization model, decision variables are the variables that are allowed to change and are defined by the modeler. These decision variables represent the choices or decisions that need to be made in order to optimize the objective function.
Auxiliary variables, on the other hand, are variables that are used to represent intermediate calculations or to simplify the representation of the model. They are not the main variables of interest and are typically not allowed to change directly. Instead, their values are determined by the values of the decision variables and the constraints of the optimization problem.