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 ...

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 ...

Discover a modified method for solving multi-objective linear fractional programming problems. Gain flexibility in decision-making with multiple efficient solutions. Explore a numerical example and ...

Linear programming is a mathematical method for optimizing a linear function, called the objective function, subject to a set of linear constraints. For example, you might want to maximize your ...

Bilevel linear programming (BLP) is a solution method for linear optimization problem with two sequential decision steps of the leader and the follower. In this paper, we assume that the follower's ...

Existing supervised learning models are generally built upon the basis of only one single objective function, through the minimizing of the square-loss (neural networks) or the minimizing of the ...

Example 8.9: Linear Programming The two-phase method for linear programming can be used to solve the problem A routine written in IML to solve this problem follows. The approach appends slack, surplus ...

Our main result shows that computing a tight upper bound on the expected value of a mixed 0-1 linear program in maximization form with random objective is a completely positive program. This naturally ...

Example 8.10: Quadratic Programming The quadratic program can be solved by solving an equivalent linear complementarity problem when H is positive semidefinite. The approach is outlined in the ...

Learn about the benefits and challenges of using linear programming in operations management, and how to apply it to production planning, resource allocation, scheduling, and routing.