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242 CHAPTER 5 LINEAR PROGRAMMING: THE SIMPLEX METHOD
Alternative Optimal Solutions
A linear programme with two or more optimal solutions is said to have alternative
optimal solutions. When using the Simplex method, we cannot recognize that a
linear programme has alternative optimal solutions until the final tableau is reached.
Then if the linear programme has alternative optimal solutions, c j – z j will equal zero
for one or more non-basic variables.
To illustrate the case of alternative optimal solutions when using the Simplex
method, consider changing the objective function for the HighTech problem from
50x 1 +40x 2 to 30x 1 +50x 2 ; in doing so, we obtain the revised linear programme:
Max 30x 1 þ 50x 2
s:t:
3x 1 þ 5x 2 150
1x 2 20
8x 1 þ 5x 2 300
x 1 ; x 2 0
The final tableau for this problem is shown here:
x 1 x 2 s 1 s 2 s 3
Basis c B 30 50 0 0 0
x 2 50 0 1 0 1 0 20
s 3 0 0 0 2.6667 8.3333 1 66.6667
x 1 30 1 0 0.3333 1.6667 0 16.6667
30 50 10 0 0 1 500
z j
0 0 10 0 0
c j – z j
All values in the net evaluation row are less than or equal to zero, indicating that
an optimal solution has been found. This solution is given by x 1 ¼ 16.6667, x 2 ¼ 20,
s 1 ¼ 0, s 2 ¼ 0 and s 3 ¼ 66.6667. The value of the objective function is 1500.
In looking at the net evaluation row in the optimal simplex tableau, we see that
the c j – z j value for non-basic variable s 2 is equal to zero. This indicates that the
linear programme may have alternative optimal solutions. In other words, because
the net evaluation row entry for s 2 is zero, we can introduce s 2 into the basis without
changing the value of the solution. The tableau obtained after introducing s 2 follows:
x 1 x 2 s 1 s 2 s 3
Basis c B 30 50 0 0 0
50 0 1 0.32 0 0.12 12
x 2
0 0 0 0.32 1 0.12 8
s 3
30 1 0 0.20 0 0.20 30
x 1
z j 30 50 10 0 0 1 500
c j – z j 0 0 10 0 0
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