Operations
Research (MTH601)
142
Maximize
Z
=
x1 + 2x2 + 3x3
Subject
to
x1 + 2x2 + 3x3 = 15
2x1 + x2 + 5x3 = 20
x1 +
2x2 + x3 + x4 = 10
x1, x2, x3, x4 > 0
9.
Solve
the problem by two-phase
method.
Maximize
Z
=
x1 + x2
Subject
to
3x1 + 2x2 < 20
2x1 + 3x2 < 20
x1 +
2x2 > 2
x1 , x2 > 0
VARIANTS
OF THE SIMPLEX METHOD
In
this section we present certain
complications encountered in the
application of the simplex
method and
how
they are resolved. These
are called the variants of
simplex method. We can illustrate
the typical cases
through
numerical
examples. The following
variants are being
considered.
1.
Minimization
2.
Inequality
in the wrong direction
3.
Degeneracy
4.
Unbounded
solution
5.
Multiple
solutions
6.
Non-existing
feasible solution
7.
Unrestricted
variables
Minimization:
Sometimes
we come across problems in
which the objective function
has to be minimized instead
of
maximizing.
This situation can be tackled
easily in either of the two
ways. One is to make the
following minor
changes
in the simplex method. The
new entering basic variable
should be the non-basic
variable that would
decrease
rather than increase the
value of Z
at
the fastest rate when
this variable is increased.
Similarly the test
for
the
fastest rate when this
variable is increased. Similarly
the test for optimality
should be whether Z
can
increased.
Similarly
the test for optimality
should be whether Z
can
be decreased rather than
increased by increasing any
non-
basic
variable.
The
second method is to change
the problem into an
equivalent problem involving
maximization and
proceed
with the steps of the
regular simplex method. The
change is effected by maximizing
the negative of the
original
objective function. Minimizing any
function f
(x1, x2, x3, ..., xn) subject to set of
constraints is completely
equivalent
to maximizing -f
(x1, x2, ..., xn) subject to the same
set of constraints. For
example if we want to minimize
a
function Z
=
5x1 +7x2 - 8x3, it is equivalent to maximizing
a
function Z
=
-5x1 - 7x2 + 8x3.
Inequality
in the wrong
direction.
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