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 ...

The framework developed for this approach uses a mixed-integer linear programming formulation, balancing imprecision from linearization with benefits of global optima and rapid resolution time when ...

Linear programming is being increasingly used in many countries in the determination of least-cost livestock rations subject to certain quality specifications. In this example, the technique is ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

In addressing this issue, this paper presents a new integer linear programming formulation incorporating both two performance metrics into consideration with an integrated objective function.

F. Polimeno, T. Rehman, H. Neal, C. M. Yates, Integrating the use of Linear and Dynamic Programming Methods for Diary Cow Diet Formulation, The Journal of the ...

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 ...