File Exchange

image thumbnail

Dynamic Programming solution to the TSP

version 1.0 (3.04 KB) by

This function solves the Traveling Salesman Problem (TSP) using Dynamic programming (DP).

4.33333
4 Ratings

16 Downloads

Updated

View License

The function is based on the paper by Held and Karp from 1962. The DP is guaranteed to provide the accurate (optimal) result to the TSP, but the time complexity of this algorithm is O(2^n n^2), which limits the use of this algorithm to 15 cities or less.

NOTE: For reasonable runtime, please do not try to calculate a tour of more than 13 cities. DP is not for large sets of cities.

Comments and Ratings (16)

Elad Kivelevitch

@Muhammad Haryanto:
1. This is how the algorithm is defined in the literature.
2. The function calcLUT is a helper function to get the look-up table (LUT) that stored information. It is not part of the original algorithm.

thank you for code.
i want to ask,
1. why you divide s=1,s=2 and s=3. when you loop from s=3 until s=(n-1)?
2. what function LUT=calcLUT(vec,last,Primes) for dynamic programming algorithm?
thank you.

Elad Kivelevitch

Jer,

As the help states, if there are no inputs at all, a random set of 10 cities will be generated. I did not design this to work with only a Dmatrix. I also don't see an example Dmatrix defined in the help.

Here is an example of how to use this function:

cities = [0 0; 10 0; 10 10; 0 10];
Dmatrix = [0 10 14 10; 10 0 10 14; 14 10 0 10; 10 14 10 0]; %Costs are rounded to integers

[OptimalTour, MinCost] = tsp_dp1(cities);
Or
[OptimalTour, MinCost] = tsp_dp1(cities, Dmatrix);

Jer Verme

Hi I am trying to use your code but when i enter the example Dmatrix and then the start of the matrix it doesn't work it gives "undifned function or variable cities"
if I leave cities out of the command it always gives me the route 1-2-3-1 how can I fix this?

Jer Verme

Della,

Please type (in your Matlab prompt)
>> help tsp_dp1

As the help says, the first input is a list of city locations. This should be provided as a matrix that has n rows (n is the number of cities) and 2 or 3 columns. 2 columns for a 2D problem, 3D columns for a 3D problem. For example, three cities in 2D looks like this:

>> cities = [0 0; 100 0; 0 100];

You can leave the second input argument empty. In that case, the Dmatrix will be calculated automatically by the function using the default Euclidean norm. In other words, for the cities matrix defined above:

>> [OptimalTour,mincost]=tsp_dp1(cities)

Will give you the solution.

If you want a non-default Dmatrix, for example, if the cost is non Euclidean, and/or asymmetric, you can specify it as an n-by-n matrix. This would mean n rows and n columns. Again, n is the number of cities. To avoid travel from each city to itself, put inf on the diagonal.

An example for the Dmatrix for 3 cities is:

>> Dmatrix = [inf 100 100; 100 inf 144; 100 144 inf];

Then to calculate the solution do:

>> [OptimalTour,mincost]=tsp_dp1(cities, Dmatrix)

I hope this helps you get started.

Elad

I did not understand how to input dmatrix and cities. how to make that listing program? can you help me?

JAVAD

JAVAD (view profile)

thanks

thanks

Thanapan

Cool i need this solutions for my study academic, thak you

Vahid

Vahid (view profile)

Thanks.

Elad Kivelevitch

As I said, I haven't tested it for an asymmetric TSP. You will need to pass a list of cities with n rows and 2 columns. This list will not be used in calculating the Dmatrix, but will be used for knowing the number of cities.

You know, it's a MATLAB code that you could modify and try to run your own versions...

Vahid

Vahid (view profile)

If I put an assymetric Dmatrix, what should I put as the cities coordinates?

Elad Kivelevitch

Correct. Just a symmetric TSP and only for a limited number of cities.

However, now that I think about it, I have no idea what happens if you use an asymmetric Dmatrix. Maybe it will work. Try it sometime.

Vahid

Vahid (view profile)

Thanks for the code. Is is only working for symmetric TSP?

MATLAB Release
MATLAB 7.6 (R2008a)

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video

Win prizes and improve your MATLAB skills

Play today