The dual simplex method, unlike the standard simplex method, starts with an infeasible but optimal (or better) solution for the objective function in a linear programming problem. It then ...

Two existing methods for solving a class of fuzzy linear programming (FLP) problems involving symmetric trapezoidal fuzzy numbers without converting them to crisp linear programming problems are the ...

Linear programming (LP) is a powerful technique for optimizing a linear objective function subject to a set of linear constraints. It is widely used in operations research (OR) to ...

Standardizing the Problem: Transforming the problem into its standard form. Automated Method Selection: Automatically selecting the most suitable method (e.g., Simplex Method, Bland's Method, ...

Linear programming is the most fundamental optimization problem with applications in many areas including engineering, management, and economics. The simplex method is a practical and efficient ...

In methods based on the simplex algorithm, it is not easy to obtain a primal basic feasible solution to the minimization linear programming with intuitionistic fuzzy variables problem with equality ...

This paper presents the basic concepts of linear programming, which consists in minimizing or maximizing a linear objective function with linear inequality or equality constraints on the variables of ...

Revised simplex The Revised Simplex Method is an iterative optimization algorithm used for solving linear programming (LP) problems. It is an enhanced version of the original Simplex Method, designed ...

A modified version of the well-known dual simplex method is used for solving fuzzy linear programming problems. The use of a ranking function together with the Gaussian elimination process helps in ...

Abstract Two existing methods for solving a class of fuzzy linear programming (FLP) problems involving symmetric trapezoidal fuzzy numbers without converting them to crisp linear programming problems ...