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The most famous problem in Operations Research is probably the Traveling Salesman Problem ( TSP ) . We are given several cities and the distances
The most famous problem in Operations Research is probably the Traveling Salesman Problem TSP We are given several cities and the distances between them, and our goal is to construct the minimum distance or cost route or tour that begins and ends at the same place and visits each requiredbYou've been provided with a spreadsheet that allows you to solve this LP relaxation for a
city TSP The objective function is in cell D and this is a minimization problem. The decision
variables are in cells D through Din Excel this would be denoted as D:D Make sure
you use the Simplex Method and NOT the GRG algorithm to solve the LP
Add constraints in Solver to enforce the requirement that a tour both enters and leaves each city
and that all variables must be integers. You can do this with just two constraints:
Cells G through G sum the tour edges connected to each of our respective cities.
In Solver, choosing to "Add" a constraint brings up an Add Constraint window that allows
you to drag your mouse over all the cells from G to G and then set all cells from G:G
equal to
Similarly, you use the Add Constraint window to constrain all of the variables to be
integers with just one constraint. In the Cell Reference block, drag your mouse over all the
variable cells from D Dor type D:D in the box and choose to make them all
integers. Do not make them binary, as the next question asks you to add inequality
constraints to prevent any variable cell from exceeding Once you have added these
constraints, you can use the Solver to find a solution to this LP call it LP Give the
optimal objective function value of LP: points
The first problem you should find is that several arcs equal This won't happen if you made
all your variables binary, so if you added this constraint, go back and replace it with a constraint
that all variables are integers. This corresponds to the smallest possible subtour: eg from
Memphis to Jackson and back again! Identify which arcs are equal to in the initial LP
relaxation. points
Add constraints to your LP to ensure that each of the arcs identified in question two are
Solve the improved LP relaxation LP and give the new objective function value. At this
point, you have eliminated the somewhat trivial subtours of LP Though your LP solution
should include more complex subtours, that's a subject for another project. points Cities Objective City Constraints
Atlanta AtlBalt Atlanta
Baltimore AtlBirm Baltimore
Birmingham AtlCharWV Birmingham
Charleston WV AtlGreen Charleston WV
Greensboro AtlJackMS Greensboro
Jackson MS AtlJville Jackson MS
Jacksonville AtlMem Jacksonville
Memphis AtlMyrtle Memphis
Myrtle Beach AtlNash Myrtle Beach
Nashville AtlNorf Nashville
Norfolk AtlPhil Norfolk
Philadelphia AtlWash Philadelphia
Washington DC BaltBirm Washington DC
BaltCharWV
BaltGreen
BaltJackMS
BaltJville
BaltMem
BaltMyrtle
BaltNash
BaltNorf
BaltPhil
BaltWash
BirmCharWV
BirmGreen
BirmJackMS
BirmJville
BirmMem
BirmMyrtle
BirmNash
BirmNorf
BirmPhil
BirmWash
CharWVGreen
CharWVJackMS
CharWVJville
CharWVMem
CharWVMyrtle
CharWVNash
CharWVNorf
CharWVPhil
CharWVWash
GreenJackMS
GreenJville
GreenMem
GreenMrytle
GreenNash
GreenNorf
GreenPhil
GreenWash
JackMSJville
JackMSMem
JackMSMyrtle
JackMSNash
JackMSNorf
JackMSPhil
JackMSWash
JvilleMem
JvilleMyrtle
JvilleNash
JvilleNorf
JvillePhil
JvilleWash
MemMrytle
MemNash
MemNorf
MemPhil
MemWash
MrytleNash
MrytleNorf
MrytlePhil
MrytleWash
NashNorf
NashPhil
NashWash
NorfPhil
NorfWash
PhilWash
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