To estimate the traveling salesman problem using the dynamic programming technique in Matlab, we can follow the steps below:
dist between cities and the starting city start.n and initialize the dp table with Inf values and set dp(start, 1) = 0.j from 2 to n, and k from 1 to n-1:
S subset of cities of size j that contains start and k, compute dp(S,j) as:
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m is any city in S.optDist is given by:
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k is any city that leads to the optimal tour.Here's the Matlab code implementing this algorithm:
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