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How to find the lowest distance?

Asked by vinicius lanziotti on 8 Dec 2017
Latest activity Commented on by vinicius lanziotti on 8 Dec 2017
x = [1 2 3 4 5];
d = [0 10 20 30 40
10 0 50 60 70
20 50 0 80 90
30 60 80 0 100
40 70 90 100 0];
for k=1:n
xp = randperm(numel(x), 2);
x(xp) = x(fliplr(xp))
s = sub2ind(size(d),x(1:end-1),x(2:end ));
Distance = sum(d(s))
end
Lowest_Distance = ?

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1 Answer

Answer by Guillaume
on 8 Dec 2017
 Accepted Answer

Using words to explain what you want would be useful, rather than leaving it up to the reader to guess.
Also using comments in your code would be useful to explain what it is doing (the big picture).
A guess, that you want the minimum of the Distance values calculated at each step of your k loop. In that case, simply store the values into an array and take the minimum:
Distance = zeros(1, n);
for k = 1:n
...
Distance(k) = sum(d(s));
end
min_Distance = min(Distance)

  1 Comment

Very nice. Thank you!

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