Why are integer programming problems more challenging to solve than linear programming problems?
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Techniques like branch and bound or cutting plane methods are often employed to solve these problems, which are computationally more intensive than the simplex method used for linear programming.
nteger programming problems require that the decision variables take on only integer values. This discreteness makes the problem much more complex. The feasible region is no longer a continuous set of points but rather a discrete set, making it harder to find the optimal solution using methods designed for continuous spaces.