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: Consider the following instance of ATSP c_ij 0 1 2 3 4 5 6 7 8 9 0 1000 22 11 21 25 30
: Consider the following instance of ATSP
c_ij | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
0 | 1000 | 22 | 11 | 21 | 25 | 30 | 27 | 22 | 25 | 25 |
1 | 16 | 1000 | 13 | 19 | 18 | 24 | 25 | 26 | 22 | 29 |
2 | 24 | 21 | 1000 | 21 | 20 | 26 | 30 | 28 | 26 | 23 |
3 | 20 | 12 | 13 | 1000 | 24 | 23 | 25 | 30 | 30 | 23 |
4 | 18 | 10 | 20 | 15 | 1000 | 29 | 24 | 28 | 23 | 22 |
5 | 25 | 14 | 22 | 14 | 23 | 1000 | 12 | 21 | 12 | 19 |
6 | 19 | 14 | 13 | 12 | 23 | 10 | 1000 | 12 | 11 | 16 |
7 | 11 | 23 | 15 | 14 | 15 | 10 | 14 | 1000 | 22 | 21 |
8 | 11 | 18 | 23 | 19 | 13 | 25 | 17 | 21 | 1000 | 15 |
9 | 19 | 24 | 16 | 20 | 19 | 12 | 22 | 14 | 20 | 1000 |
- Model and solve the problem using Excel solver without subtour elimination constraints. (You can also use other solvers like GAMS, Gurobi, CPLEX to solve this part)
- Choose the subtour in your solution which does not contain the depot. Which subtour elimination constraints can be used to eliminate this subtours obtained in part (a)? Write at least two constraints for this specific subtour.
- Apply the nearest neighbor heuristic to obtain a feasible solution to the problem. In this heuristic, create a tour starting from the depot (node 0) and visiting the nearest unvisited node at each iteration until you visit all the nodes. When all nodes are visited, complete the tour by returning to the depot.
- What is your information about the optimal value of the problem: what are the lower and upper bounds obtained in the previous parts?
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