Finding the Optimal Solution (Edexcel International A Level Maths): Revision Note
Objective Line
What is the objective line?
The objective function (for an LP problem with two decision variables) is of the form
Rearranged, this is of the form '
'
So for a particular value of
, there is a straight line graph
This is the objective line
How does an objective line indicate where the optimal solution is?
In a linear programming problem,
is usually unknown
It is the quantity that is to be maximised or minimised
In maximisation problems, increasing the value of
'moves' the objective line away from the origin
and towards the upper boundaries of the feasible region
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In minimisation problems, decreasing the value of
'moves' the objective line closer to the origin
and towards the lower boundaries of the feasible region
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Therefore, the optimal solution to a linear programming problem occurs
when an objective line passes through a vertex of the feasible region
The vertex at which this occurs will depend on the gradient of the objective line
How do I find the optimal solution to a linear programming problem using an objective line?
Whether maximising or minimising, for the objective function
Choose a value of
that is a multiple of
and
Plot the objective line
This is usually easiest by considering the two points where
and where
Using your ruler, keep it parallel to the objective line just drawn
Move it away from the origin for a maximisation problem
Move it towards the origin for a minimisation problem
The last vertex of the feasible region that your ruler passes through will be the optimal solution to the problem
Examiner Tips and Tricks
To show your working (and understanding) draw an objective line each time your ruler passes through a vertex of the feasible region
Worked Example
The constraints of a linear programming problem and the feasible region (labelled ) are shown in the graph below.
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The objective function, is to be maximised.
Showing your method clearly, use the objective line method to determine the optimal solution to the problem.
To get started, choose a value of that is both a multiple of 30 and 40, e.g. 120
Now plot the objective line with equation
Rearrange if you prefer, but by choosing a multiple of 30 and 40, it is easy to see this line will pass through the points (0, 3) and (4, 0)
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After plotting an initial line, slide your ruler parallel and 'up' the graph away from the origin (maximising problem)
Draw an objective line when your ruler passes through a vertex of the feasible region - (8, 0), (4, 6) and (2, 8)
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The optimal solution is the last vertex the objective line passes through - which in this case is (2, 8)
The optimal solution is and
is maximised at
Vertex Method
What is the vertex method?
The vertex method is a way to find the optimal solution to a linear programming problem
The optimal solution to a linear programming problem lies on a vertex of the feasible region
By finding the coordinates of these vertices, the decision variables values can be deduced
The maximum or minimum objective function can be determined
by substituting each of these sets of decision variables into the objective function
How do I find the optimal solution from the vertex method?
STEP 1
Find the coordinates of each vertex of the feasible regionIf the plot of the region is accurate, these may be able to be read directly from the graph
On less accurate diagrams, some vertices may be obvious
such as the origin or any vertices along an axis
Otherwise find the vertices by solving each pair of the inequalities as simultaneous equations
E.g. For the inequalities
and
Solve the simultaneous equations
and
STEP 2
Substitute the coordinates of each vertex into the objective function and evaluate it
STEP 3
Determine which set of decision variables lead to the maximum or minimum objective function as required by the problemThis will be the optimal solution
Examiner Tips and Tricks
In maximising problems where the origin is a vertex of the feasible region
It is usually obvious that the origin will not be the optimal solution
It is still a vertex of the feasible region however, so should be included in your list of vertices
Worked Example
The graph below shows the feasible region, labelled , of a linear programming problem where the objective function is to maximise
subject to the constraints shown on the graph.
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Use the vertex method to solve the linear programming problem.
STEP 1
Find the coordinates of each vertex of the feasible region
Three of them should be obvious to spot!
For the two vertices that are not obvious, solve the appropriate simultaneous equations
(Your calculator may have a simultaneous equation solver that you can use)
STEP 2
Findfor each pair of
and
values
Writing them out in a table can help keep track and make the optimal solution stand out
0 | 0 | 0 |
0 | 2 | 5 × 2 = 10 |
8 | 0 | 2 × 8 = 16 |
1 | 4 | 2 × 1 + 5 × 4 = 22 |
5 | 3 | 2 × 5 + 5 × 3 = 25 |
STEP 3
The maximum value is 25, which occurs whenand
The optimal solution is giving a maximum value of
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