The decision maker has expressed concern with Goal $1,$ budget achievement. He indicated that future candidate solutions should stay und budget. How can the goal programming model be modified to accommodate this change?

Give $d{l}^{+}$an extremely small weight in the constraint function.

Make budget a soft constraint in the model.

Remove $d{l}^{+}$from the objective function.

Make budget a ha

The primary benefit of a MINIMAX objective function is that it

is limited to all corner points.

yields a larger variety of solutions than generally available using an LP method.

makes many of the deviational variables equal to zero.

yields any feasible solution by changing the weights.rd constraint in the model.