Optimizing Multiple Alternatives with Multiple Decision Variables
The most complex situation, analytically, is when you have multiple alternatives with multiple decision variables.
Cost1 = F1(DecisionVariable1, DecisionVariable2, . . .)
Cost2 = F2(DecisionVariable1, DecisionVariable2, . . .)
. . .
This is similar to optimizing multiple alternatives with a single decision variable. The approach is to find the optimum point for each alternative (using whatever means is appropriate), and then choose the alternative with the best value at its respective optimum point.
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