The purpose of this article is to explain how a fuzzy linear programming model can be transformed into a fuzzy multi-objective linear programming model and then solved. An algorithm is developed to ...

By carefully analyzing the dual form of the problem and applying the dual simplex method, one can effectively solve complex linear programming problems and achieve optimal results.

In linear programming, several variants of the AM have been proposed. They generally address the problem of initialization of the method and the choice of the direction [22] [23] . In this work, a new ...

Mixed-integer linear programming (MILP) is often used for system analysis and optimization as it presents a flexible and powerful method for solving large, complex problems such as the case with ...

By using this approach the problem is transformed to a sequence of linear programming problems. The approximately solution of the original 0-1 NP problem is obtained based on the optimum values of the ...

This paper is concerned with a new linearization strategy for a class of zero-one mixed integer programming problems that contains quadratic cross-product terms between continuous and binary variables ...