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 linear programming problems, as in most economic problems, the input data are often uncertain. So we haven't finished when we've obtained the optimal solution; we still need to ask, how would this ...

This repository contains a C++ implementation of the Simplex algorithm, a popular method for solving linear programming (LP) problems. The Simplex algorithm is used to find the optimal solution to a ...

This repository contains a C++ implementation of the Simplex algorithm, a popular method for solving linear programming (LP) problems. The Simplex algorithm is used to find the optimal solution to a ...

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 ...

Abstract: In many real-life situations, it is necessary to optimize two or more objects simultaneously. In such problems, the objectives under consideration conflict with each other, and optimizing a ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...