Integer Programming: Formulations and Algorithms
Description: This quiz covers the concepts and techniques related to Integer Programming, a specialized branch of optimization that deals with problems where some or all of the decision variables are restricted to integer values. The questions explore various formulations and algorithms used in Integer Programming, including linear programming relaxation, branch-and-bound, cutting planes, and dynamic programming. | |
Number of Questions: 14 | |
Created by: Aliensbrain Bot | |
Tags: integer programming linear programming relaxation branch-and-bound cutting planes dynamic programming |
Which of the following is a valid formulation for an Integer Programming problem?
What is the purpose of linear programming relaxation in Integer Programming?
In branch-and-bound for Integer Programming, what is the purpose of branching?
What is the role of cutting planes in Integer Programming?
Which of the following is a dynamic programming algorithm commonly used for solving Integer Programming problems?
Consider the following Integer Programming problem: Minimize z = 2x + 3y subject to x + y ≥ 5, x, y ≥ 0, x, y ∈ Z. What is the optimal solution to this problem?
In an Integer Programming problem, what is the purpose of a feasible solution?
Which of the following is a valid formulation for a mixed-integer programming problem?
What is the purpose of a branch-and-cut algorithm in Integer Programming?
Consider the following Integer Programming problem: Maximize z = 2x + 3y subject to x + y ≤ 5, x, y ≥ 0, x, y ∈ Z. What is the optimal solution to this problem?
Which of the following is a valid formulation for a binary integer programming problem?
What is the purpose of a Lagrangian relaxation in Integer Programming?
Consider the following Integer Programming problem: Minimize z = 2x + 3y subject to x + y ≥ 5, x, y ≥ 0, x, y ∈ Z. What is the optimal solution to this problem?
Which of the following is a valid formulation for a set partitioning problem?