The objective function for a linear optimization problem is


The objective function for a linear optimization problem is: Max 3x + 2y, with one of the constraints being x, y = 0, 1. x and y are the only decision variables. This is an example of a _____. nonlinear program mixed-integer linear program LP relaxation of the integer linear program binary integer linear program

Solution

In Binary interger Linear programming each value can take on the value of 0 and 1 thus our answer will be option d.

 The objective function for a linear optimization problem is: Max 3x + 2y, with one of the constraints being x, y = 0, 1. x and y are the only decision variable

Get Help Now

Submit a Take Down Notice

Tutor
Tutor: Dr Jack
Most rated tutor on our site