MCQ
If the constraints in linear programming problem are changed.
  • The problem is to be $\text{re }- $ evaluated
  • B
    Solution is not defined
  • C
    The objective function has to be modified
  • D
    The change in constraints is ignored

Answer

Correct option: A.
The problem is to be $\text{re }- $ evaluated
The above question asks for the impact of change in constraints on the Linear programming problem.
In this scenario, when there is a change in constraint, the solution will change definitely.
Whether the solution exists or not, we can only find once the problem is $\text{re} -$ evaluated.
In an $\text{LPP},$ the objective function is related to the main objective of any problem, either we have to maximize or minimize the function based on the situation whereas the constraints is related to physical restrictions in achieving the defined objective function.
In real life problems, there might be situations when the constraints change, but objective function does not changes to accommodate the change in constraints.
Thus, if constraints in linear programming problem is changed, the problem has to be $\text{re} -$ evaluated for the same objective function and after solving we can find whether the solution exists or not.

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