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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 13-
city TSP. The objective function is in cell D1, and this is a minimization problem. The decision
variables are in cells D2 through D79(in Excel this would be denoted as D2:D79). 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 G2 through G14 sum the tour edges connected to each of our 13 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 G2 to G14 and then set all cells from G2:G14
equal to 2.
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 D2- D79(or type D2:D79 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 1. Once you have added these
constraints, you can use the Solver to find a solution to this LP (call it LP1). Give the
optimal objective function value of LP1: (12 points).
The first problem you should find is that several arcs equal 2.(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: e.g. from
Memphis to Jackson and back again! Identify which arcs are equal to 2 in the initial LP
relaxation. (10 points)
Add constraints to your LP to ensure that each of the arcs identified in question two are 1.
Solve the improved LP relaxation (LP2) and give the new objective function value. At this
point, you have eliminated the somewhat trivial subtours of LP1. Though your LP2 solution
should include more complex subtours, that's a subject for another project. (8 points). Cities Objective 0 City Constraints
Atlanta Atl-Balt 0682 Atlanta 0
Baltimore Atl-Birm 0146 Baltimore 0
Birmingham Atl-CharWV 0502 Birmingham 0
Charleston WV Atl-Green 0332 Charleston WV 0
Greensboro Atl-JackMS 0380 Greensboro 0
Jackson MS Atl-Jville 0346 Jackson MS 0
Jacksonville Atl-Mem 0379 Jacksonville 0
Memphis Atl-Myrtle 0362 Memphis 0
Myrtle Beach Atl-Nash 0248 Myrtle Beach 0
Nashville Atl-Norf 0558 Nashville 0
Norfolk Atl-Phil 0780 Norfolk 0
Philadelphia Atl-Wash 0637 Philadelphia 0
Washington DC Balt-Birm 0780 Washington DC 0
Balt-CharWV 0361
Balt-Green 0355
Balt-JackMS 01017
Balt-Jville 0744
Balt-Mem 0914
Balt-Myrtle 0477
Balt-Nash 0703
Balt-Norf 0248
Balt-Phil 098
Balt-Wash 039
Birm-CharWV 0564
Birm-Green 0478
Birm-JackMS 0237
Birm-Jville 0434
Birm-Mem 0234
Birm-Myrtle 0508
Birm-Nash 0192
Birm-Norf 0715
Birm-Phil 0880
Birm-Wash 0744
CharWV-Green 0245
CharWV-JackMS 0801
CharWV-Jville 0642
CharWV-Mem 0597
CharWV-Myrtle 0429
CharWV-Nash 0388
CharWV-Norf 0403
CharWV-Phil 0466
CharWV-Wash 0362
Green-JackMS 0713
Green-Jville 0456
Green-Mem 0675
Green-Mrytle 0214
Green-Nash 0464
Green-Norf 0236
Green-Phil 0431
Green-Wash 0309
JackMS-Jville 0590
JackMS-Mem 0209
JackMS-Myrtle 0743
JackMS-Nash 0414
JackMS-Norf 0948
JackMS-Phil 01115
JackMS-Wash 0980
Jville-Mem 0677
Jville-Myrtle 0358
Jville-Nash 0596
Jville-Norf 0613
Jville-Phil 0844
Jville-Wash 0706
Mem-Mrytle 0752
Mem-Nash 0212
Mem-Norf 0898
Mem-Phil 01014
Mem-Wash 0879
Mrytle-Nash 0589
Mrytle-Norf 0339
Mrytle-Phil 0571
Mrytle-Wash 0432
Nash-Norf 0688
Nash-Phil 0802
Nash-Wash 0666
Norf-Phil 0290
Norf-Wash 0209
Phil-Wash 0137
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