On 2/24/08, Sticker <[EMAIL PROTECTED]> wrote:
>
>
> I have a graph problem, which is different from the standard salesman
> problem. I say it is more difficult.
>
> In a graph, I have many vertexes with different colors. It is more
> easier to think of each vertex as a shop selling only one goods and
> vertexes with the same color selling the same goods. There are edges
> between any two vertexes, with different distances.
>
> You start at a specific position (different from any vertex), and have
> a list of goods you need to buy. Figure out an optimal path with
> shortest distance so you can get all the goods from the shops on the
> path. You are not required to start and end at the same position and
> edges and vertexes can be visited more than once if you want.
>
> If there is no color on vertex, or in other words, each vertex sells a
> distinct goods, then the above problem is identical to salesman
> problem.


I dont think that makes is identical to TSP. Cause in TSP you have to visit
every node.
But in this case you are given a list of goods and each vetex sells unique
good.
Also in TSP we have to return to the start point , but this is not the case
here !

 But now we have colors on vertexes and once a vertex with a
> color is visited, you don't want to visit vertex with the same color
> (which will only increase the total distance).
>
> Since this problem is an extension of the standard salesman problem,
> the practical solution is probably heuristic. The key is, what
> heuristic strategy are you going to use.
>
> I think the problem a bit and come up with a very naive solution:
>
> For each vertex, calculate its distances to the closest vertexes with
> other colors. For vertexes with the same color, choose the one with
> the minimum total/average such distances. Then, only one vertex with a
> color is remained in the graph. Then use heuristic strategy for
> salesman problem.
>
>
> any other idea?
> >
>


-- 
Ciao,
Ajinkya

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