Abstract: The aim of this paper is to introduce a formulation of linear programming problems involving intuitionistic fuzzy variables. Here, we will focus on duality and a simplex-based algorithm for ...

OPT-Simplex is a Python-based project designed to solve linear programming problems using the Simplex optimization method. The Simplex method is a well-known algorithm used for finding the optimal ...

Project levereges speed of C++ with Python GUI, using subprocess communication to solve problems of constrained minimization/maximization with Simplex Method and ...

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 ...

In this paper, we propose two new perturbation simplex variants. Solving linear programming problems without introducing artificial variables, each of the two uses the dual pivot rule to achieve ...

ABSTRACT: The purpose of this research paper is to introduce Easy Simplex Algorithm which is developed by author. The simplex algorithm first presented by G. B. Dantzing, is generally used for solving ...

An example of the quadratic assignment problem (QAP) is the facility location problem, in which n facilities are assigned, at minimum cost, to n sites. Between each pair of facilities, there is a ...