Question: ( a ) Explain what an Integer Programming Problem is . Explain in words what the Knapsack Problem is . Formulate the Knapsack Problem as

(a) Explain what an Integer Programming Problem is. Explain in words what
the Knapsack Problem is. Formulate the Knapsack Problem as an Integer
Programming Problem. In this integer programming formulation explain the
meaning of all parameters, variables and constraints.
(b) We have a knapsack of size b=12 and four items. Let the values (vi) and
sizes (bi) of the four items be as follows: v1=1,v2=v3=3,v4=10,
b1=1,b2=b3=2,b4=11. Describe the heuristics H1 and H2 introduced
in the lectures for the Knapsack Problem and the combined heuristic H and
use the three heuristics to obtain solutions for the above instance of the
Knapsack Problem.
(c) Using the backtracking branch-and-bound algorithm, solve the following in-
stance of MAX-SAT. In the algorithm, assign a variable the value 1? true be-
fore assigning it the value 0/false. Depict backtracking as a search tree and
provide explanation.
F1=x1vvnotx2,F2=x1vvx3vvnotx4,F3=notx1vvx2,
F4=x1vvnotx3vvx4,F5=x2vvx3vvnotx4,F6=x1vvnotx3vvnotx4,
F7=x3,F8=notx1vvnotx3,F9=x1. can you solve this (a) Solve the following LP problem graphically. Explain how you find the solu-
tions and give all the optimal solutions.
minimize x1+x2
subject tox1+5x25
,3x1+2x26
,x1,x20
(b) List four possible types of outcome for an LP problem.
(c) Find the optimal value of the objective function of the following LP problem
by directly solving the dual.
maxz=,3x1-8x2-2x3,
s.t.-3x1+2x2-2x3,-15
,x1,x2,x3,0.
(d) State the Bin Packing Problem (BPP) and explain in words how the Next Fit,
First Fit and First Fit Decreasing heuristics work. Run each of these three
heuristics on the following example: Let b=1 be the capacity of each bin
and L=(12,17,12,14,13,34,12). Explain why First Fit Decreasing produces an
optimal solution. (a) Solve the following LP problem graphically. Explain how you find the solu-
tions and give all the optimal solutions.
minimize x1+x2
subject tox1+5x25
,3x1+2x26
,x1,x20
(b) List four possible types of outcome for an LP problem.
(c) Find the optimal value of the objective function of the following LP problem
by directly solving the dual.
maxz=,3x1-8x2-2x3,
s.t.-3x1+2x2-2x3,-15
,x1,x2,x3,0.
(d) State the Bin Packing Problem (BPP) and explain in words how the Next Fit,
First Fit and First Fit Decreasing heuristics work. Run each of these three
heuristics on the following example: Let b=1 be the capacity of each bin
and L=(12,17,12,14,13,34,12). Explain why First Fit Decreasing produces an
optimal solution.
 (a) Explain what an Integer Programming Problem is. Explain in words

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