Re: Distance normalized TSP algorithm
- From: Patricia Shanahan <pats@xxxxxxx>
- Date: Sat, 26 Jul 2008 04:48:06 -0700
JSH wrote:
....
I have a new idea. It came to me as a clever trick, and as I ponder
it more, I like it more, but it still might be crap.
I don't think that approaching a problem from two ends is a new idea. I
have not seen it applied to TSP, but I suspect that is mainly because it
is not particularly useful for that problem. It does little or nothing
for the difficult aspect, the need to make decisions that are globally
optimal without being locally optimal.
The point here really is puzzling out this approach, where I'm still
telling myself, hey, at least this thing will give a round trip
solution and hit every node, so maybe down the line I program it and
see what kind of funny little graphs it makes anyway.
Finding a Hamiltonian path in a complete graph is not difficult enough
to be interesting. You really need to pick some problem that is a bit
more challenging than that, but perhaps a bit less challenging than
finding a polynomial time algorithm for an NP-complete problem. Most of
computer science is somewhere in that range.
I am not familiar, beyond the general idea that there are usable
methods, with the state of research into TSP approximation and
probabilistic algorithms. Also, some of your ideas amount to looking for
special cases of TSP that are polynomial time solvable.
If you are interested in TSP why not study what has already been done in
one of those areas, and see if you can add to it?
Patricia
.
- References:
- Distance normalized TSP algorithm
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- Re: Distance normalized TSP algorithm
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- Re: Distance normalized TSP algorithm
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- Re: Distance normalized TSP algorithm
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- Re: Distance normalized TSP algorithm
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- Distance normalized TSP algorithm
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