This paper presents three algorithms for solving linear programming problems in which some or all of the objective function coefficients are specified in terms of intervals. Which algorithm is ...

This is a preview. Log in through your library . Abstract This paper presents an algorithm, based on the simplex routine, that provides a way to solve a problem in which the objective function is not ...

In this paper, the authors are aimed at applying duality theory to multi-objective linear programming problems. Three methods of solutions were discussed and applied in this paper with the sole aim of ...

A routine written in IML to solve this problem follows. The approach appends slack, surplus, and artificial variables to the model where needed. It then solves phase 1 to find a primal feasible ...

In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most. Agreement on that, and on the steps to ...