Linear programming (LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements and objective are ...

Then, they can formulate a linear programming problem by defining decision variables X (number of acres allocated to wheat) and Y (number of acres allocated to barley), expressing the objective ...

In this project, we tackle a series of optimization problems inspired by real-world industrial scenarios. The main objective is to effectively allocate resources to maximize profits or minimize costs.

Explore our innovative technique for solving intuitionistic fuzzy linear programming problems without the need for existing rankings. Comparative study and intriguing results await. Intuitionistic ...

The linear programming approach used in TOPSIS by Li does not differentiate the nature of criteria on the lines of benefit and cost and considered all the criteria as identical type with ...

This paper shows the use of interval optimization models to solve linear programming problems with Interval Type-2 fuzzy constraints. The concept of α-cut of an Interval Type-2 fuzzy set is used to ...

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 ...