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Ch8 Integer Linear Programming



Multiple Choice
Identify the choice that best completes the statement or answers the question.
 

 1. 

Which of the following is the most useful contribution of integer programming?
a.
finding whole number solutions where fractional solutions would not be appropriate
b.
using 0-1 variables for modeling flexibility
c.
increased ease of solution
d.
provision for solution procedures for transportation and assignment problems
 

 2. 

Rounded solutions to linear programs must be evaluated for
a.
feasibility and optimality.
b.
sensitivity and duality.
c.
relaxation and boundedness.
d.
each of the above is true.
 

 3. 

Rounding the solution of an LP Relaxation to the nearest integer values provides
a.
a feasible but not necessarily optimal integer solution.
b.
an integer solution that is optimal.
c.
an integer solution that might be neither feasible nor optimal.
d.
an infeasible solution.
 

 4. 

The graph of a problem that requires x1 and x2 to be integer has a feasible region
a.
the same as its LP relaxation.
b.
of dots.
c.
of horizontal stripes.
d.
of vertical stripes.
 

 5. 

The 0-1 variables in the fixed cost models correspond to
a.
a process for which a fixed cost occurs.
b.
the number of products produced.
c.
the number of units produced.
d.
the actual value of the fixed cost.
 

 6. 

Sensitivity analysis for integer linear programming
a.
can be provided only by computer.
b.
has precisely the same interpretation as that from linear programming.
c.
does not have the same interpretation and should be disregarded.
d.
is most useful for 0-1 models.
 

 7. 

Let x1 and x2 be 0-1 variables whose values indicate whether projects 1 and 2 are not done or are done. Which answer below indicates that project 2 can be done only if project 1 is done?
a.
x1 + x2 = 1
b.
x1 + x2 = 2
c.
x1 - x2 £ 0
d.
x1 - x2 ³ 0
 

 8. 

If the acceptance of project A is conditional on the acceptance of project B, and vice versa, the appropriate constraint to use is a
a.
multiple-choice constraint.
b.
k out of n alternatives constraint.
c.
mutually exclusive constraint.
d.
corequisite constraint.
 

 9. 

In an all-integer linear program,
a.
all objective function coefficients must be integer.
b.
all right-hand side values must be integer.
c.
all variables must be integer.
d.
all objective function coefficients and right-hand side values must be integer.
 

 10. 

Most practical applications of integer linear programming involve
a.
only 0-1 integer variables and not ordinary integer variables.
b.
mostly ordinary integer variables and a small number of 0-1 integer variables.
c.
only ordinary integer variables.
d.
a near equal number of ordinary integer variables and 0-1 integer variables.
 



 
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