This project focuses on solving a bi-objective linear programming problem using various optimization techniques in MATLAB. The objective is to identify Pareto optimal solutions through different ...

Abstract In this paper, we have suggested a new technique to transform multi-objective linear programming problem (MOLPP) to the single objective linear programming problem by using Harmonic mean for ...

Linear programming (LP) is a method of optimization that involves finding the best values for a set of variables that satisfy a linear objective function and a set of linear constraints. A linear ...

Explore a realistic approach to linear programming with random coefficients and risk analysis. Discover how to design a copula of objective function coefficients for business analytics and risk ...

Learn how to create a linear programming problem from scratch, using a simple and systematic approach. Find out how to identify the variables, define the objective function, formulate the ...

To solve an Integer Programming problem, we can use the Branch and Bound algorithm: # IP: a minimization integer program with constraints and objective function cost def branch_and_bound (IP): 1. Push ...

This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers ...

This article proposes to handle multi objective linear fractional programming (MOLFP) problems in fuzzy environment. As a generalized mean value theorem first order Taylor series approach is used to ...

Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as ...