Implement the Travelling salesman problem
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Hey
I would like to implement the branch and bound algorithm to solve the TSP. For achieving this task I found good inputs at this website: https://ch.mathworks.com/help/optim/examples/travelling-salesman-problem.html
Attached you can find my script. At the moment I get following error message:
>> TSP Error using optim.problemdef.OptimizationProblem/solve options is not a valid solver. Use 'linprog' or 'intlinprog' instead.
Error in TSP (line 71) tspsol = solve(tsp,'options',opts)
Could someone help me to solve this problem? I don't know where is the fault. I have also an additional question. Is my script working with the branch and bound algorithm? I would guess so because the scripts contains constraints and subconstraints. But I'm not sure...
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Accepted Answer
John D'Errico
on 31 Mar 2018
Edited: John D'Errico
on 31 Mar 2018
Your problem is here:
tspsol = solve(tsp,'options',opts)
which should be:
tspsol = solve(tsp,opts)
tspsol =
struct with fields:
trips: [19900×1 double]
As you can see, my release (also R2017b) has no problem.
3 Comments
John D'Errico
on 1 Apr 2018
NO. You do NOT define a variable named updateSalesmanPlot. That is expected to be a function. When you created it as a variable, it tries to index into the variable, instead of calling a function by that name.
More Answers (1)
Alan Weiss
on 2 Apr 2018
From the example that you mentioned click the "Try this example" button in MATLAB (not in your browser). This will take your MATLAB to the appropriate folder, containing the updateSalesmanPlot function, so MATLAB can find it.
Alan Weiss
MATLAB mathematical toolbox documentation
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