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©2005-2009 ~tfproxy
:icontfproxy:

Artist's Comments

A scientist relives a traumatizing experience.

Been spending too much time playing with ants recenctly, and this is the result. Playing with ants in an entirely professional sense of course, TSP algorithms and whatnot ;).

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:iconthrashwolf:
hehehe.
So I'm wondering if the wife is a "queen" ant. Might make a nice companion piece.

--
I am me, not someone else, not anything in between.
mmmmm :pie:
:iconpeshozmiata:
Creepy! And neat... How did he fix himself the first time?:P

--
//[End of message]//
-PeshoZmiata
:icontfproxy:
Well.. The way HE tells the story it was quite an adventure ;).
:icondragoniade:
Nice work Proxy. Though, the picture is a bit dark. When you crank the Gamma a little, you can see quite a lot more detail, especially the light red marking.
:icontfproxy:
Hmmm.... I guess it might be a bit dark, but oh well :) I'll get it right next time.
:icondragoniade:
Nothing that a quick 1.5 gamma correction can't quickly fix ;)
Still, great work. We don't see insects TF really often. It's a nice change from the routine.
:icontfproxy:
TSP: (Travelling Salesman Problem)

A well-known problem in Computer Science which has no known efficient solution. The problem is to find a tour of N cities (visiting all cities once) with the shortest length. Sounds easy, but once you get to a possible set of cities of 64, there's 64! (factorial) possible paths to evaluate if you do a 'generate all tours and search to find the smallest' approach. If you don't have a calculator, 64! ~= 1,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 (ie. a really big number).

Using virtual 'ants' (aka. agents) a (non-proven) optimal solution can be found in a few minutes, as apposed to a few billion years it would take to brute-force search the tours.

Thats the general idea anyways ;)
:icontwonjosh:
Wow, i'm speechless :)

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July 4, 2005
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