The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

Emily Sharp and Kunal Nabar collaborate on a puzzle that’s greater than the sum of its parts.

We also show a family of linear programs that characterize all algorithms that are allowed to choose J candidates and gain profit from the K best candidates. We believe that a linear programming based ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.

Bounds and approximate formulae are developed for the average optimum distance of the transportation linear programming (TLP) problem with homogeneously, but randomly distributed points and demands in ...

Solver of multiobjective linear optimization problems vOptSolver is an ecosystem for modeling and solving multiobjective linear optimization problems (MOMIP, MOLP, MOIP, MOCO).

Karmarkar (1984) found the first method of the interior point algorithm, so linear programming appeared as a dynamic field of research. Soon after, the interior point algorithm was able to resolve ...

This package solves linear and integer programming problems and mixed problems. Bounds can be imposed on the objective function variables. It can even be used to solve systems of linear equations by ...

This study intended to develop a new and improved approach to solve completely Fully Fuzzy Linear Programming Problems(FFLPP) with Symmetric Trapezoidal Fuzzy Numbers(STFN) and findings results are ...